Data Engineer
Posted 15 days ago
Job Viewed
Job Description
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Key Responsibilities: + Utilize strong SQL & Python skills to engineer sound data pipelines and conduct routine and ad hoc analysis to assess the performance of legacy products and the saliency of new features + Build reporting dashboards and visualizations to design, create and track campaign/program KPIs + Perform analyses on large data sets to understand drivers of operational efficiency + Manage end-to-end process of analytic tooling feature development, including request intake, requirements evaluation, cross-functional team alignment, feature execution, QA testing, and stakeholder communication + Consult with business analysts, technical data SMEs, and cross-functional partners to understand their reporting and data needs, serving as the point of contact for requests, inquiries, and actions + Interface with other data engineering, product, and data science teams to implement client needs and initiatives *Bay Area preferred Basic Qualifications: + Minimum 5 years of Data Engineering experience + High School Diploma or GED Preferred Qualifications: + Experience with Python and SQL programming languages + Bachelor's or Associate's Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York/New Jersey or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. ( Role Location Hourly Salary Range California $67.30 to $7.30 Colorado 67.30 to 77.30 District of Columbia 67.30 to 77.30 Illinois 67.30 to 77.30 Minnesota 67.30 to 77.30 Maryland 67.30 to 77.30 New York/New Jersey 67.30 to 77.30 Washington 67.30 to 77.30 What We Believe We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here ( Equal Employment Opportunity Statement Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Accenture is committed to providing veteran employment opportunities to our service men and women. For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( . Requesting An Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 ( , send us an email ( or speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
Senior Big Data Engineer
Posted 1 day ago
Job Viewed
Job Description
Posting Type
Hybrid
Job Overview
Join our team as we reimagine and modernize the core of Relativity's data architecture. You'll play a pivotal role in transforming the Document Data Model (DDM)-a foundational component of our platform-into a more scalable, performant, and developer-friendly system. This high-impact initiative is central to our Cloud Native Transformation goals and touches nearly every part of our product. You'll work on complex, high-scale systems that directly influence customer experience and internal productivity, while helping to shape the future of how data is modeled, accessed, and scaled across Relativity.Job Description and Requirements
Your role in action
Design and implement scalable performance improvements to the DDM and its supporting infrastructure.
Build APIs and backend services that integrate with the DDM and support new use cases.
Collaborate with product and engineering teams to define and execute modernization strategies.
Drive improvements in system observability, reliability, and maintainability.
Actively participate in the on-call schedule to investigate and fix production issues related to our data processing pipeline or query engine.
Participate in code reviews for projects written by your team
Focus on quality through comprehensive unit and integration testing
Your skills
4+ years of experience building commercial-grade systems in a SaaS or tech environment.
Strong proficiency in C# or equivalent languages (Go, Java, Ruby) and design patterns.
Deep understanding of relational and NoSQL databases, including schema design and performance tuning.
Experience with microservices, container orchestration (Kubernetes), and CI/CD practices.
Proven track record of designing and building APIs (REST, gRPC, GraphQL) and backend services.
Experience abstracting direct OLTP data CRUD access via APIs is essential.
Knowledge of professional software engineering practices & software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
Leverages best practices and past experiences to mentor and improve the productivity of the team
We'd particularly love it if you have:
Demonstrated proficiency with CosmosDB, CockroachDB, or Postgres.
Familiarity with infrastructure-as-code and DevOps practices.
Experience designing and maintaining ETL/ELT pipelines in cloud-native environments.
Background in event-driven architectures or streaming systems.
Experience with Domain Driven Design (DDD).
Experience with Spark (PySpark or Scala) or DataFusion (Rust) and columnar table formats like (Delta or Iceberg).
Relativity is committed to competitive, fair, and equitable compensation practices.
This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.
The expected salary range for this role is between following values:
$126,000 and $190,000The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.
Lead Engineer, Big Data

Posted today
Job Viewed
Job Description
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**KNOWLEDGE, SKILLS & ABILITIES** (Generally, the occupational knowledge and specific technical and professional skills and abilities required to perform the essential duties of this job):
+ Provide leadership on choosing ideal Architecture, evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
+ Understand, articulate, interpret, and apply the principles of the defined data and analytics strategy to unique, complex business problems
+ Mentor development teams to build tools for data quality control and repeatable data tasks that will accelerate and automate data management duties.
+ Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
+ Design and build data solutions with an emphasis on performance, scalability, and high reliability
+ Design analytical data models for self-service BI
+ Contribute to leading and building a team of top-performing data technology professionals
+ Help with project planning and execution
+ Analyze current business practices, processes and procedures and identify opportunities for leveraging Microsoft Azure data & analytics PaaS services.
+ Expert level experience on Azure Big Data Services (like Azure Data Factory, Azure Devops, Azure Storage/ Data Lake, Azure Databricks, etc.)
+ Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
+ Designing and implementing BI solutions to meet business requirements using modern BU tools (Like Power BI, Tableau, etc.)
+ Ability to lead, in solving technical issues while engaged with infrastructure and vendor support teams
**JOB FUNCTION:**
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**REQUIRED EDUCATION:**
Bachelor's Degree
**REQUIRED EXPERIENCE:**
+ 8 + years of data management experience
+ Previous experience leading projects or teams
+ Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
+ Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
+ Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.)
+ Experience with manipulating large data sets through Big Data processing tools
+ Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
+ Experience with programming language such as, PySpark/ Scala/SQL, etc.
+ Experience implementing Web application and Web Services APIs (REST/SOAP)
**PREFERRED EDUCATION:**
Master's Degree
**PREFERRED EXPERIENCE:**
Experience in the healthcare industry is preferred
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $107,028 - $250,446 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Lead Engineer, Big Data

Posted today
Job Viewed
Job Description
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**KNOWLEDGE, SKILLS & ABILITIES** (Generally, the occupational knowledge and specific technical and professional skills and abilities required to perform the essential duties of this job):
+ Provide leadership on choosing ideal Architecture, evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
+ Understand, articulate, interpret, and apply the principles of the defined data and analytics strategy to unique, complex business problems
+ Mentor development teams to build tools for data quality control and repeatable data tasks that will accelerate and automate data management duties.
+ Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
+ Design and build data solutions with an emphasis on performance, scalability, and high reliability
+ Design analytical data models for self-service BI
+ Contribute to leading and building a team of top-performing data technology professionals
+ Help with project planning and execution
+ Analyze current business practices, processes and procedures and identify opportunities for leveraging Microsoft Azure data & analytics PaaS services.
+ Expert level experience on Azure Big Data Services (like Azure Data Factory, Azure Devops, Azure Storage/ Data Lake, Azure Databricks, etc.)
+ Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
+ Designing and implementing BI solutions to meet business requirements using modern BU tools (Like Power BI, Tableau, etc.)
+ Ability to lead, in solving technical issues while engaged with infrastructure and vendor support teams
**JOB FUNCTION:**
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**REQUIRED EDUCATION:**
Bachelor's Degree
**REQUIRED EXPERIENCE:**
+ 8 + years of data management experience
+ Previous experience leading projects or teams
+ Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
+ Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
+ Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.)
+ Experience with manipulating large data sets through Big Data processing tools
+ Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
+ Experience with programming language such as, PySpark/ Scala/SQL, etc.
+ Experience implementing Web application and Web Services APIs (REST/SOAP)
**PREFERRED EDUCATION:**
Master's Degree
**PREFERRED EXPERIENCE:**
Experience in the healthcare industry is preferred
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $107,028 - $250,446 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Lead Engineer, Big Data

Posted today
Job Viewed
Job Description
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**KNOWLEDGE, SKILLS & ABILITIES** (Generally, the occupational knowledge and specific technical and professional skills and abilities required to perform the essential duties of this job):
+ Provide leadership on choosing ideal Architecture, evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
+ Understand, articulate, interpret, and apply the principles of the defined data and analytics strategy to unique, complex business problems
+ Mentor development teams to build tools for data quality control and repeatable data tasks that will accelerate and automate data management duties.
+ Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
+ Design and build data solutions with an emphasis on performance, scalability, and high reliability
+ Design analytical data models for self-service BI
+ Contribute to leading and building a team of top-performing data technology professionals
+ Help with project planning and execution
+ Analyze current business practices, processes and procedures and identify opportunities for leveraging Microsoft Azure data & analytics PaaS services.
+ Expert level experience on Azure Big Data Services (like Azure Data Factory, Azure Devops, Azure Storage/ Data Lake, Azure Databricks, etc.)
+ Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
+ Designing and implementing BI solutions to meet business requirements using modern BU tools (Like Power BI, Tableau, etc.)
+ Ability to lead, in solving technical issues while engaged with infrastructure and vendor support teams
**JOB FUNCTION:**
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**REQUIRED EDUCATION:**
Bachelor's Degree
**REQUIRED EXPERIENCE:**
+ 8 + years of data management experience
+ Previous experience leading projects or teams
+ Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
+ Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
+ Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.)
+ Experience with manipulating large data sets through Big Data processing tools
+ Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
+ Experience with programming language such as, PySpark/ Scala/SQL, etc.
+ Experience implementing Web application and Web Services APIs (REST/SOAP)
**PREFERRED EDUCATION:**
Master's Degree
**PREFERRED EXPERIENCE:**
Experience in the healthcare industry is preferred
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $107,028 - $250,446 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Lead Engineer, Big Data

Posted today
Job Viewed
Job Description
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**KNOWLEDGE, SKILLS & ABILITIES** (Generally, the occupational knowledge and specific technical and professional skills and abilities required to perform the essential duties of this job):
+ Provide leadership on choosing ideal Architecture, evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
+ Understand, articulate, interpret, and apply the principles of the defined data and analytics strategy to unique, complex business problems
+ Mentor development teams to build tools for data quality control and repeatable data tasks that will accelerate and automate data management duties.
+ Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
+ Design and build data solutions with an emphasis on performance, scalability, and high reliability
+ Design analytical data models for self-service BI
+ Contribute to leading and building a team of top-performing data technology professionals
+ Help with project planning and execution
+ Analyze current business practices, processes and procedures and identify opportunities for leveraging Microsoft Azure data & analytics PaaS services.
+ Expert level experience on Azure Big Data Services (like Azure Data Factory, Azure Devops, Azure Storage/ Data Lake, Azure Databricks, etc.)
+ Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
+ Designing and implementing BI solutions to meet business requirements using modern BU tools (Like Power BI, Tableau, etc.)
+ Ability to lead, in solving technical issues while engaged with infrastructure and vendor support teams
**JOB FUNCTION:**
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**REQUIRED EDUCATION:**
Bachelor's Degree
**REQUIRED EXPERIENCE:**
+ 8 + years of data management experience
+ Previous experience leading projects or teams
+ Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
+ Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
+ Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.)
+ Experience with manipulating large data sets through Big Data processing tools
+ Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
+ Experience with programming language such as, PySpark/ Scala/SQL, etc.
+ Experience implementing Web application and Web Services APIs (REST/SOAP)
**PREFERRED EDUCATION:**
Master's Degree
**PREFERRED EXPERIENCE:**
Experience in the healthcare industry is preferred
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $107,028 - $250,446 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Lead Engineer, Big Data

Posted today
Job Viewed
Job Description
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**KNOWLEDGE, SKILLS & ABILITIES** (Generally, the occupational knowledge and specific technical and professional skills and abilities required to perform the essential duties of this job):
+ Provide leadership on choosing ideal Architecture, evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
+ Understand, articulate, interpret, and apply the principles of the defined data and analytics strategy to unique, complex business problems
+ Mentor development teams to build tools for data quality control and repeatable data tasks that will accelerate and automate data management duties.
+ Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
+ Design and build data solutions with an emphasis on performance, scalability, and high reliability
+ Design analytical data models for self-service BI
+ Contribute to leading and building a team of top-performing data technology professionals
+ Help with project planning and execution
+ Analyze current business practices, processes and procedures and identify opportunities for leveraging Microsoft Azure data & analytics PaaS services.
+ Expert level experience on Azure Big Data Services (like Azure Data Factory, Azure Devops, Azure Storage/ Data Lake, Azure Databricks, etc.)
+ Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
+ Designing and implementing BI solutions to meet business requirements using modern BU tools (Like Power BI, Tableau, etc.)
+ Ability to lead, in solving technical issues while engaged with infrastructure and vendor support teams
**JOB FUNCTION:**
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**REQUIRED EDUCATION:**
Bachelor's Degree
**REQUIRED EXPERIENCE:**
+ 8 + years of data management experience
+ Previous experience leading projects or teams
+ Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
+ Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
+ Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.)
+ Experience with manipulating large data sets through Big Data processing tools
+ Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
+ Experience with programming language such as, PySpark/ Scala/SQL, etc.
+ Experience implementing Web application and Web Services APIs (REST/SOAP)
**PREFERRED EDUCATION:**
Master's Degree
**PREFERRED EXPERIENCE:**
Experience in the healthcare industry is preferred
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $107,028 - $250,446 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
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Lead Engineer, Big Data

Posted today
Job Viewed
Job Description
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**KNOWLEDGE, SKILLS & ABILITIES** (Generally, the occupational knowledge and specific technical and professional skills and abilities required to perform the essential duties of this job):
+ Provide leadership on choosing ideal Architecture, evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
+ Understand, articulate, interpret, and apply the principles of the defined data and analytics strategy to unique, complex business problems
+ Mentor development teams to build tools for data quality control and repeatable data tasks that will accelerate and automate data management duties.
+ Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
+ Design and build data solutions with an emphasis on performance, scalability, and high reliability
+ Design analytical data models for self-service BI
+ Contribute to leading and building a team of top-performing data technology professionals
+ Help with project planning and execution
+ Analyze current business practices, processes and procedures and identify opportunities for leveraging Microsoft Azure data & analytics PaaS services.
+ Expert level experience on Azure Big Data Services (like Azure Data Factory, Azure Devops, Azure Storage/ Data Lake, Azure Databricks, etc.)
+ Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
+ Designing and implementing BI solutions to meet business requirements using modern BU tools (Like Power BI, Tableau, etc.)
+ Ability to lead, in solving technical issues while engaged with infrastructure and vendor support teams
**JOB FUNCTION:**
Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.
**REQUIRED EDUCATION:**
Bachelor's Degree
**REQUIRED EXPERIENCE:**
+ 8 + years of data management experience
+ Previous experience leading projects or teams
+ Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
+ Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
+ Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.)
+ Experience with manipulating large data sets through Big Data processing tools
+ Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
+ Experience with programming language such as, PySpark/ Scala/SQL, etc.
+ Experience implementing Web application and Web Services APIs (REST/SOAP)
**PREFERRED EDUCATION:**
Master's Degree
**PREFERRED EXPERIENCE:**
Experience in the healthcare industry is preferred
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $107,028 - $250,446 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.
Big data Architect
Posted today
Job Viewed
Job Description
Big data Architect Senior Technology Architect - US Company: ITL USA Requisition ID: 135937BR Infosys is seeking a Big Data Architect. This position will interface with key stakeholders and apply technical proficiency across different stages of the Software Development Life Cycle, including Requirements Elicitation, Application Architecture definition, and Design. The role involves creating high-level design artifacts, delivering high-quality code for modules, leading validation and testing, and supporting activities related to implementation, transition, and warranty. The position promotes a learning culture emphasizing teamwork, collaboration, excellence, diversity, and respect. Required Qualifications: Candidate must be located within commuting distance of Richardson, TX, or Tampa, FL, or willing to relocate. Travel to project locations may be required. Bachelor’s degree or equivalent from an accredited institution; three years of relevant experience may substitute for each year of education. At least 11+ years of experience in OSS/BSS domain within the Telecom Industry as a Solution Architect. Database expertise in Big Data (Data warehouse, ETL), SQL, and NoSQL (MongoDB, Neo4j, etc.). Cloud-native application development experience with Docker, Kubernetes, etc. Knowledge of cloud frameworks like OpenStack, OpenShift, AWS, GCP, etc. Understanding of telecom industry standards and technical architecture. 5+ years of leadership experience in design teams. Basic understanding of cloud concepts. Proven experience in creating solutions for OSS/Service Fulfillment/Service Assurance. Preferred Qualifications: Experience in developing solutions addressing customer requirements in OSS/Service Fulfillment/Service Assurance. Knowledge of TM Forum, MEF, SID, and related processes and components in service provisioning, assurance, and operations management. The role involves working at a computer for extended periods and communicating via telephone, email, or face-to-face. Travel may be required. About Us: Infosys is a global leader in digital services and consulting, helping clients navigate digital transformation across more than 50 countries. With over four decades of experience, we enable enterprises with AI-powered cores, agile digital solutions, and continuous learning to improve performance and customer satisfaction. We are committed to equal employment opportunities regardless of race, color, sex, gender identity, sexual orientation, religion, national origin, pregnancy, medical conditions, veteran status, or disability. #J-18808-Ljbffr
Big Data Support Engineer (Hybrid)
Posted 1 day ago
Job Viewed
Job Description
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients' best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We'll enable growth and progress together.
The Big Data Support Engineer accomplishes results through the management of professional team(s) and /OR Applications . Contributes to standards around which others will operate. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function. Recognized technical authority for an area within the business. Requires basic commercial awareness. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family.
Responsibilities:
- The Big Data Support Engineer is responsible to partner with multiple technology teams to ensure appropriate integration of functions to meet goals; identify and define necessary system enhancements; analyze existing system logic, identify problems; and recommend and implements solutions.
- Provides expertise in area and an advanced level of understanding of the principles of apps support.
- Formulates and defines systems scope and objectives for complex, high impact application enhancements and problem resolution through in-depth analysis and evaluation of complex business processes, systems and industry standards; documents requirements.
- Partners with multiple technology areas and management teams to ensure appropriate integration of functions to meet goals.
- Works closely with Product Owners, Business Analysts and Systems Analysts to determine and document Systems impacts and support requirements
- Considers the implications of the application of technology to the current environment.
- Identifies risks, vulnerabilities and security issues; communicates impact; proposes risk mitigation options.
- Requires awareness of audit and compliance related issues
- Acts as advisor or coach to new or lower level analysts; allocates work.
- Provides in-depth analysis with interpretive thinking to define problems and develop innovative solutions.
- Directly impacts the business by influencing strategic functional decisions through advice, counsel or provided services.
- Persuades and influences others through strong and comprehensive communication and diplomacy skills
- Performs other duties and functions as assigned
- Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
- Ability to handle incidents, problems and change at a global enterprise level. Calm and analytical when faced with major incidents on critical systems.
Incident Management: End to End ownership of Incidents and drive Incidents to reduce Mean time to repair. Assessment and notification of business impact.
Problem Management: Create & Lead Service Improvement Plans for recurring failures. Periodic interlock with stakeholders for timely resolution.
Change Management: End to End ownership of Change governance. Review impact, approve and perform post implementation validations.
Continuity of Business and Resiliency Management : Review Service & Business recovery plans. Lead & Coordinate disaster recovery tests including review and updates of recovery plans, execution and documentation.
Service Health and Readiness: Perform Service Readiness for all production releases. Readiness Assessment for large projects and Onboarding Assessment for maintenance changesl projects.
Identify Service Risks, log, track & lead them for resolution.
Capacity Management: Periodic review of all server capacity and log service improvement Plan / Risks to remediate capacity constraints. Availability Management: Review and enable monitoring of all production services, Daily Health Checks. Setup alerts and monitor system health.
Certificate Management: Track and coordinate all Certificate renewals and assess cross impacts to ensure seamless renewal. Monitoring & Observability: Use the latest observability tools such as ELK, Splunk, App Dynamics, Grafana for instrumenting observability solutions. SRE: Use SRE practices for implementing automated solutions, Resolve Production issues and instrument engineering solutions.
***Role Requires Flexibility in working Hours: Given that the role is a production operations support role, this role would require flexibility in availability during outside of Business hours to support Business functions including support for production issues and necessary support of critical changes. Role may be required to work on weekends based on business need.
Skills:
Application Support Experience:
- 6 - 8 years of strong Application production support or Engineering development experience in the financial industry
- 4 - 5 years of experience
- Good SQL experience in any of the RDBMS.
- Focus on Oracle / MSSQ, Hive, databases
- Autosys / CONTROL-M or other schedulers will be of added advantage.
- PowerShell, UNIX shell scripting, Python, Java will be of added advantage.
- Working knowledge of various components and technologies under Cloudera distribution like HDFS, Hive, Impala, Spark, YARN, Sentry, Oozie, Kafka.
- Experience on supporting applications on Snowflake is a plus
- Very good knowledge on analyzing the bottlenecks on the cluster - performance tuning, effective resource usage, capacity planning, investigating.
- Perform daily performance monitoring of the cluster - Implement best practices, ensure cluster stability and create/analyze performance metrics.
- Hands-on experience in supporting applications built on Hadoop.
Microsoft
•2 - 3 years of experience
•Good knowledge of Microsoft based operating systems
Additional Skills (preferable)
Other Applications
•Knowledge / working experience of ITRS Active Console/other monitoring tools
•Knowledge / working experience of Autosys/scheduler.
Competencies
•Strong interpersonal skills
•Management experience
•Able to communicate clearly and concisely, Strong analytical and problem-solving skills
•Must have good attention to detail and a strong commitment to quality; High levels of personal commitment, professionalism and integrity
•Relationship building
•Strategic influencing
Qualifications:
- 6-10 years experience
- Practical problem solving and strategic thinking skills
- Demonstrated leadership, interpersonal skills and relationship building skills
- Service oriented attitude
- Ability to work in a fast-paced environment
- Experience working or leading requirement gathering efforts for multiple large development projects at one-time
- Proficient using basic technical tools and systems
- Good interpersonal and communication skills
- Bachelor's/University degree, Master's degree preferred
Job Family Group:
Technology
Job Family:
Applications Support
Time Type:
Full time
Primary Location:
Jacksonville Florida United States
Primary Location Full Time Salary Range:
$113,840.00 - $170,760.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Anticipated Posting Close Date:
Jun 11, 2025
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