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Associate Cloud Data Engineer ( SQL , Python , ETL, Cloud )
- United States
- United States
Über
We're building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. At CVS Health, everything starts with our vision to reimagine health care by putting people at the center of all we do and redefine health care in America. Our strategy is focused on making bold moves to deliver solutions that are personalized, connected and increasingly digital. To execute on our vision and strategic imperatives, the Enterprise Data Services & Operations (EDSO) team is focused on building a modern, connected data ecosystem that accelerates the use of data, analytics, and advanced AI. We are looking for passionate and motivated Data Engineers to join our growing team of engineers. We are on a mission to transform technology and health care and you will play a pivotal role in executing our strategies and making our vision come true. Training and development will be a part of your role. Due to this you must have the ability to commute to one of the following office location: Hartford, CT. This is a hybrid role (3 days a week onsite) in the Aetna offices in Hartford, CT. Responsibilities: Develops scalable, repeatable and secure data structures and pipelines to organize, collect, standardize and integrate data that facilitate more complete, accurate and consistent data for insights and reporting Builds efficient, high quality, integrated and increasingly real-time ETL/ELT processes using tools, programming languages and services Delivers data capabilities and new data products to accelerate investments in data and democratize data across the enterprise and within the Health Care Business unit Collaborates with data science team to transform data and integrate algorithms and models into automated processes Builds data models, data marts and extracts to support Data Science, internal customers and third-party administrators Analyzes data, understands complex systems and solves challenging data sourcing and integration problems Promotes engineering excellence by simplifying, optimizing, and automating processes and workflows Innovates by leveraging and practicing agile techniques to achieve efficiency, boost productivity and improve processes Required Qualifications: 1+ years hands-on experience building and deploying data pipelines 1+ years' experience using Python and any ETL tool Working experience in Relational databases or Hadoop with strong understanding of SQL or HQL Hands on experience in building solutions in public cloud environments (GCP, Azure or AWS) Strong problem-solving skills and critical thinking ability Preferred Qualifications: Experience building ETL data pipelines in Python or equivalent technology Experience in GCP Cloud services such as Big Query, Composer, Airflow, DataProc. Working background with tools Tableau, Alteryx and/or ThoughtSpot Basic Understanding of some ETL Tools, Native BigQuery etc. Experience with bash shell scripts, UNIX utilities & UNIX Commands, CI/CD Agile practice experience with methodologies like SAFe. Healthcare domain experience. Education: Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline Master's degree or PhD preferred Anticipated Weekly Hours: 40 Time Type: Full time Pay Range: $67,980.00 - $135,960.00 Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Sprachkenntnisse
- English
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