Note: The job is a remote job and is open to candidates in USA. TPI Global Solutions is seeking a Senior Analytic Data Engineer to join their technical team. This role is critical for establishing and maintaining efficient and reliable data flow across diverse systems for regulatory reporting, specifically focusing on Hedis.

Responsibilities

• Design, development, and maintenance of our organizational data and programming infrastructure for Hedis
• Establishing and maintaining efficient and reliable data flow across diverse systems feeding our Hedis Engines for regulatory reporting

Skills

• Deep understanding of data and ETL architecture
• Practical experience with cloud-based data platforms (preferably GCP with Databricks/Apache Spark)
• Strong programming skills in Python/PySpark with direct ETL experience
• Reporting expertise using Power BI and Tableau
• Proven track record in designing and implementing advanced data engineering solutions
• Experience leveraging full Software Development Life Cycle (SDLC)
• 3 years of experience with data pipeline and workflow management tools (e.g., Apache Spark(Dataproc), GCP Tools, Databricks, PySpark)
• 3 years of experience building ETL and Data Integration pipelines in Python, PySpark and knowledge of Informatica is a plus
• 3 years of experience in a reporting tool like Power BI & Tableau (Power BI preferred)
• 3 years of experience working with On Prem databases like Oracle, Teradata and DB2
• 3 years of experience with Cloud platforms (GCP and Azure) and their respective data services
• 3 years of deep SQL experience & Unix experience
• 3 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare. Hedis experience is a big plus
• 3 years of experience translating requirements, design mockups, prototypes or user stories into technical designs
• 3 years of experience with data-related code that is fault-tolerant, efficient, and maintainable

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