Prospect Overview:

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
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% p

📌 Data Engineer Hyderabad (India)
🏢 Cohere Health
📍 India