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 effective 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
* Strong 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*:
1. Connect with Talent Acquisition
2. Technical Round 1
3. Technical Round 2
4. 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% p
📌 Data Engineer (Hyderabad)
🏢 Cohere Health
📍 Hyderabad
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