Senior​/Lead Data Engineer; AWS,Python, SQL, PySpark

Position: Senior/Lead Data Engineer (AWS,Python, SQL, PySpark)
Role:
Senior / Lead Data Engineer (Python, PySpark, SQL, AWS)

Experience:

4–12 years

Location:

Hyderabad

Work Mode:
Hybrid (3 days/week in-office)

Open Positions: 5

Join Time:
Immediate

Domain :
Healthcare / Life Sciences

Must-Have Technical

Skills:

- Strong programming skills in Python and/or Scala
- Hands-on experience with Apache Spark for big data processing on AWS cloud
- Proficiency with AWS services such as S3, AWS Glue, Athena, Redshift, EMR, Lambda
- Strong SQL skills for data transformation and analytics
- Experience in Infrastructure as Code (IaC) using Terraform
- Expertise in setting up and managing CI/CD pipelines with Jenkins

Responsibilities:

- Design, build, and optimize scalable ETL/ELT data pipelines on AWS
- Implement data ingestion, transformation, and integration solutions using Spark, AWS 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