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Data Engineer position at CVS Health's Aetna Medicare Product Tools & Technology team, responsible for designing, developing, testing and managing large-scale data structures, pipelines, and efficient ETL workflows to support Aetna's Medicare business. The role involves building app analytics, creating KPIs and metrics, monitoring cloud-based technologies, and leveraging AI tools.
Job Responsibility:
Designing, developing, testing and managing large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows
Build and maintain app analytics across the organization, creating KPIs and metrics for multiple applications
Build and monitor instances while managing multiple cloud-based technologies
Leverage AI tools
Develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs
Write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing
Collaborate with development team to transform data and integrate algorithms and models into automated processes
Test and maintain systems and troubleshoot malfunctions
Build data marts and data models to support developers and other internal customers
Integrate data from a variety of sources and ensure adherence to data quality and accessibility standards
Convert SSRS Reports to Power Bi, creating new reports
Promote knowledge sharing and provide input on the technology stack
Requirements:
3+ years of data analysis for health care industry, products, or systems
3+ years of Zero copy, Advance Power BI, Databricks, Python, SSRS & SSIS, Hadoop and Hive, MicroStrategy or Tableau experience
3+ years of experience with traditional relational data warehouse technologies such as Oracle, Teradata, or DB2
3+ years of GPU or CPI Infrastructure component experience
3+ years of designing data models and solutions for analytical and reporting use cases
2+ years of knowledge of cloud based and on-prem data warehousing services
2+ years of providing domain support for healthcare organizations
2+ years working in the Software Development Life Cycle (SDLC)
Bachelor's degree, specialized training, or relevant professional experience
Nice to have:
Firsthand experience in building models to generate predictive and prescriptive insights
Familiarity with the common Python libraries used in machine learning projects
Experience with cloud computing platforms (e.g., Snowflake) including querying/mining large datasets and deploying projects on cloud systems
Familiarity with working in an Agile framework
Experience with Medicare or other highly regulated businesses
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