Hybrid
Full Time
Primary Responsibilities: Design, develop, and maintain advanced data pipelines and ETL processes using niche technologies Collaborate with cross-functional teams to understand complex data requirements and deliver tailored solutions Ensure data quality and integrity by implementing robust data validation and monitoring processes Optimize data systems for performance, scalability, and reliability Develop comprehensive documentation for data engineering processes and systems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Undergraduate degree or equivalent experience 3+ years of experience in building data pipeline using DataStage, Spark, Python etc. Good experience in any RDBMS Exposure to any Cloud Platform Knowledge in Healthcare domain #NJP
Optum
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