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.