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Data Integration Engineer - Navitus Health Solutions / Lumicera Health Services
Implementation Engineer
Data Integration Engineer responsible for designing, building, and maintaining scalable data pipelines that ingest, transform, and deliver high‑quality data to analytics and reporting platforms using Python, SQL, ETL tools, AWS services, and Spark.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines to ingest data from multiple source systems into a unified data warehouse.
- Implement ETL processes using Python, SQL, and Spark to transform raw data into clean, analytics‑ready formats.
- Leverage AWS services (S3, Glue, Redshift, Lambda) to build scalable, cost‑effective data workflows.
- Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver timely, accurate datasets.
- Monitor pipeline performance, troubleshoot issues, and optimize for speed and reliability.
- Document data models, pipeline logic, and best practices for future maintenance and onboarding.
Requirements
- 3+ years of experience in data engineering or related field.
Skills
pythonsqlawsapache spark