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: 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 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