Senior Data Engineer

one of the leading healthcare technology Product organizations with $1.4 Billion revenue with year-on-year growth of 22% and client retention rate of 120%. we offer wide range of innovative solutions to the healthcare payers, providers, and consumers. Our services include network analytics, payment integrity and optimization, provider credentialing, and provider engagement.

Requirements

• Design, develop and implement scalable batch / real time data pipelines (ETLs) to integrate data from a variety of sources into Data Warehouse and Data Lake
• Design and implement data model changes that align with warehouse dimensional modeling standards.
• Proficient in Data Lake, Data Warehouse Concepts and Dimensional Data Model.
• Responsible for maintenance and support of all database environments, design and develop data pipelines, workflow, ETL solutions on both on-prem and cloud-based environments.
• Design and develop SQL stored procedures, functions, views, and triggers.
• Design, code, test, document and troubleshoot deliverables.
• Collaborate with others to test and resolve issues with deliverables.
• Maintain awareness of and ensure adherence to Zelis standards regarding privacy.
• Create and maintain design documents, source to target mappings, unit test cases, data seeding.
• Ability to perform data analysis and data quality tests and create audit for the ETLs.
• Perform continuous integration and deployment using Azure DevOps and Git.

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Benefits