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