À propos
The Senior Data Analyst will support the full software development and implementation lifecycle within the Program Integrity (PI) team. This role focuses on building and managing cloud-based data engineering solutions that power fraud, waste, and abuse (FWA) detection capabilities. The ideal candidate has strong technical expertise, excellent analytical skills, and the ability to collaborate effectively with cross-functional teams.
Key Responsibilities Support the full software development and implementation lifecycle. Lead the design, development, and management of ETL processes for Program Integrity data marts in Snowflake and SQL Server. Build and maintain data pipelines using Azure Data Factory (ADF), supporting ETL operations and Peer Group Profiling outputs. Implement and manage DevOps practices to improve data loading, efficiency, and workload balancing within the PI data mart. Collaborate with cross-functional teams to ensure seamless data integration and consistent data flow. Monitor, troubleshoot, and optimize data pipelines to ensure reliability and performance. Independently identify and resolve complex technical issues. Communicate effectively across teams to support project execution and alignment. Apply strong analytical skills and attention to detail to maintain data accuracy and quality. Lead cloud-based project delivery, ensuring adherence to timelines, scope, and performance expectations. Ensure compliance with data security and industry standards.
Required Qualifications
5+ years
of hands-on experience in cloud-based data engineering and data warehousing, with a focus on scalable data solutions. 5+ years
of experience with Snowflake, including design, development, and automated data ingestion using Snowflake SQL and Python. 5+ years
of experience with Azure data tools: Azure Data Factory (ADF), SQL Server, Blob Storage. 2+ years
of experience with Python or other scripting languages.
Compétences linguistiques
- English
Avis aux utilisateurs
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