Senior Data Engineer
Saransh
Position Summary Lead complex data engineering projects; design data architectures aligned with business requirements; optimize data workflows and manage data pipelines; ensure smooth operation of data systems. Responsibilities Lead development of large-scale data pipelines and architectures. Design, build, and test data architectures aligned with business needs. Provide technical leadership and ensure best practices. Collaborate with product, finance, and business teams. Oversee development of predictive and prescriptive analytics solutions. Ensure technical quality and data movement across environments. Align data architecture with Healthfirst solution architecture. Minimum Qualifications 8+ years overall IT experience. Minimum 5 years of experience in required technologies. Technical Skills Strong experience with Python scripting and PySpark. Proficiency in SQL and big data processing. Experience with data lake processing in Iceberg format. Experience with AWS Glue jobs. Experience with AWS services: S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, EventBridge. Expertise in BASH/Shell scripting. Strong understanding of healthcare finance systems. Experience leading data engineering teams. Experience working in Agile environments. #J-18808-Ljbffr Saransh
Vacancy posted 1 day ago
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