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

Experience: 6–12 years

Location: Hyderabad

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

Open Positions: 3

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 quick-paced, innovation-driven environment ? Apply Now!

Send your updated resume to [email protected]

📌 Senior/Lead Data Engineer (AWS,Python, SQL, PySpark) (Hyderabad)
🏢 SID Information Technologies
📍 Hyderabad