Data Engineer designing, developing, and managing data structures and pipelines for healthcare analytics at CVS Health. Collaborating with teams to implement cutting-edge technology solutions.
Responsibilities
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 that improve existing systems and expand capabilities
Collaborate with development team to transform data and integrate algorithms and models into automated processes
Test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines
Utilize programming skills in Python, Java, SQL or similar languages to build robust data pipelines and dynamic systems
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; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems
Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case
Utilize analytics expertise to collaborate with key leaders in identifying new use cases that align with company goals
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)
Benefits
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs
Confidential counseling and financial coaching
Paid time off
Flexible work schedules
Family leave
Dependent care resources
Colleague assistance programs
Tuition assistance
Retiree medical access and many other benefits depending on eligibility
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