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Aetna Senior Data Engineer in Hartford, Connecticut

Req ID: 60351BR

  • Participate in the design, build, and management of large scale data structures and pipelines and efficiently extract/ load/ transform (ETL) workflows.

  • Responsible for developing large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.

  • Write complex ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic distributed data processing.

  • Collaborate with data science team to transform data and integrate algorithms and models into automated processes.

  • Use in-depth knowledge on Hadoop architecture, HDFS commands, Apache Spark, Hive and experience designing & optimizing queries to build data pipelines.

  • Use strong programming skills in Scala, Python, Java or any of the major languages to build robust data pipelines and dynamic systems.

  • Build data marts and data model 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.

  • Experiment with available tools and advises on new tools in order to determine optimal solution given the requirements dictated by the model/use case.

Job Function: Data & Analytics

Aetna is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected Veterans status.