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 (Hyderabad)
🏢 SID Information Technologies
📍 Hyderabad