1+ months

Senior Data Engineer - 71641BR

CVS Caremark
Hartford, CT 06132
**Job Description**

Please only use the job description in the Fundamental components box.

**Fundamental Components**

Design, build, and management of large scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows. Develop large scale data structures and pipelines to organize, collect, and standardize data that helps generate insights and addresses reporting needs. Design and implement scalable, flexible, efficient and supportable applications using technologies like Java, Spring, Angular Framework, Hibernate, JavaScript, REST Webservices, Microservices, AWS. Write ETL (Extract / Transform / Load) processes, design database systems, and develop tools for real-time and offline analytic processing. Utilize Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines. Use programming skills to build robust data pipelines and dynamic systems. Work alongside Aetnas data science team to transform data and integrate algorithms and models into automated processes. Build data marts and data models to support Data Science and other internal customers. Integrate data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Analyze current information technology environments to identify and assess critical capabilities and recommend solutions. Leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources and advise on new tools in order to determine optimal solution given the requirements dictated by the model use case.

**Background Experience**

Bachelors degree in Computer Science, Computer Engineering or a related field.

Minimum 5 years of IT analysis experience working with the following: developing and optimizing data analytical ETL applications; using HiveQL, Informatica and Kafka; developing applications using Java, Microservices, Rest API, Spring, Hibernate, Angular, ActiveMQ, AWS, MySQL and NoSQL; using tools like GitHub, Jira, Jenkins, Vault, Eclipse IDE; and working with Healthcare datasets: NDC, NCPDP, ICD9/10. Must also have experience with SQL and Hive queries optimization techniques; and working with the following databases: Oracle, Mongo DB, Postgres, Cassandra, Dynmo Db and experience in Agile (Scrum) SDLC methodology.


Bachelor's degree or equivalent experience

**Percent of Travel Required**


**Business Overview**

Aetna, a CVS Health company, we are joined in a common purpose: helping people on their path to better health. We are working to transform health care through innovations that make quality care more accessible, easier to use, less expensive and patient-focused. Working together and organizing around the individual, we are pioneering a new approach to total health that puts people at the heart.

We are committed to maintaining a diverse and inclusive workplace. CVS Health is an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring or promotion based on race, ethnicity, gender, gender identity, age, disability or protected veteran status. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.


Posted: 2020-09-14 Expires: 2020-11-14

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Senior Data Engineer - 71641BR

CVS Caremark
Hartford, CT 06132

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