Data Platform & Cloud Implementation Internship At — CVS Health

Participate in the design, build and management of large-scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows that help generate insights and support analytical needs. Develop and implement technical efforts to design, build, and deploy GCP (Google Cloud Platform) applications at the direction of lead architects, including large-scale data processing, computationally intensive statistical modeling, and advanced analytics Participate in all aspects of the software development life cycle for GCP solutions, including planning, requirements, development, testing, and quality assurance Use strong programming skills in Python, Java, or any of the major languages to build knowledge in GCP architecture and commands to design and optimize queries to build data pipelines Collaborate with data science teams to transform data and integrate algorithms and models into automated processes Integrate data from a variety of sources, assuring it adheres to data quality and accessibility standards Troubleshoot incidents, identify root cause, fix, and document problems, and implement preventive measures