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 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
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

Ability To Commute/relocate

Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Preferred)

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 improv

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