Senior Data Engineer
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We are looking for a Senior Data Engineer to join an exciting Unified Data Platform initiative supporting enterprise-wide data interoperability, advanced analytics, and AI capabilities within the healthcare industry.
You'll play a key role in designing and building scalable cloud-based data solutions, modernizing data platforms, and enabling seamless integration across enterprise systems.
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Build API-based data integration solutions.
- Implement modern data architectures based on Data Mesh / Data-as-a-Product principles.
- Enable data interoperability across enterprise platforms.
- Integrate AI/ML capabilities into data workflows.
- Optimize and automate data processes.
- Collaborate with architecture, product, and engineering teams.
- 6+ years of experience in Data Engineering.
- Strong hands‑on experience with AWS (S3, Glue, Lambda, Redshift).
- Snowflake.
- Advanced Python and SQL.
- ETL/ELT pipeline development and optimization.
- API-based integrations.
- Understanding of Data Mesh / Data-as-a-Product architectures.
- Kafka or other event-driven architectures.
- Agile methodologies and strong stakeholder management.
You’ll contribute to a cloud modernization initiative within the healthcare industry, helping build scalable data ecosystems that power analytics, interoperability, and next-generation AI solutions.
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