Senior Data Engineer (AWS,Python, Spark/databricks, SQL)

Role: Senior Data Engineer (Python, Spark/Databricks, SQL, AWS) Experience:

6–12 years Location:

Hyderabad Work Mode:

Hybrid (3 days/week in-office) Join Time:

Immediate

Must-Have Technical Skills: Strong programming skills in

Python or

Scala, Spark/Databricks Hands-on experience with

Apache Spark

for big data processing on

AWS cloud Proficiency with

AWS services

such as

S3, Glue, Redshift, EMR, Lambda Strong SQL skills for data transformation and analytics Expertise in setting up and managing

CI/CD pipelines with Jenkins

Responsibilities: Design, build, and optimize scalable data pipelines on AWS Implement data ingestion, transformation, and integration solutions using

Spark/Databricks, Glue, and SQL Manage and optimize cloud storage and compute environments Ensure robust, automated deployments with

Terraform and Jenkins Collaborate with cross-functional teams to deliver high-quality data products

Nice to Have: Prior experience in the

Healthcare / Life Sciences domain Familiarity with modern data lake and data mesh architectures

Why Join Us?

Work on

cutting-edge data engineering projects

in healthcare analytics Hybrid work model for flexibility and collaboration Opportunity to grow in a fast-paced, innovation-driven environment

Apply Now! Send your updated resume to