We are looking for a Data Engineer to build and optimize scalable data pipelines and analytical datasets on our AWS-based lakehouse platform.
- You will work with Apache Iceberg, AWS Glue, Athena, dbt, and Airflow to support reliable and efficient data processing for analytics and operational use cases.
- You will collaborate with senior engineers, analytics teams, and platform stakeholders to deliver production-grade data solutions.
What you’ll do:
- Develop and maintain batch data pipelines
- Build reusable ingestion and transformation workflows
- Build and maintain Apache Iceberg datasets
- Support schema evolution and partition optimization
- Optimize Athena queries and troubleshoot performance bottlenecks
- Implement data validation checks and monitoring
- Support production issue troubleshooting
ISMS roles and responsibilities
- Fair understanding of Information Security practices.
- Align to the organization policies and procedures.
- Ensure to get updated with ISMS roles as assigned by the department/process heads.
Required Qualifications:
- 4–5 years of experience in data engineering
- Robust hands-on experience with Python, SQL, PySpark/Spark
- Experience with AWS S3, Glue, Athena
- Experience with DBT and Airflow (or equivalent)
- Familiarity with Apache Iceberg / Hudi / Delta
- Understanding of partitioning and Parquet optimization
Interview Process*:
- Connect with Talent Acquisition
- Technical Round 1
- Technical Round 2
- Final Round
*Subject to change
About Cohere Health:
Cohere Health’s clinical intelligence platform and agentic AI-powered solutions connect health plans’ strategic goals and providers’ needs, optimizing the speed, cost, and quality of care. With an enterprise approach that streamlines payer-provider decision-making across the care continuum–including policy, prior authorization, payment accuracy, and more–the company improves collaboration and reduces burden, resulting in up to 8x ROI and 94% provider s
📌 Data Engineer (Hyderabad)
🏢 Cohere Health
📍 Hyderabad
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