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

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

Experience: 6–12 years

Location: Hyderabad

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

Join Time: Immediate joiners (Max 30 days notice period)

Domain : Healthcare / Life Sciences

Must-Have Technical Skills:

Python and/or Scala Programming

Apache Spark on AWS cloud / PySpark

Strong SQL (Data Transformation & Analytics)

AWS services (S3, AWS Glue, Athena, Redshift, EMR, Lambda)

Terraform ( Infrastructure as Code (IaC) )

Jenkins (CI/CD pipelines)

ETL/ELT data pipelines on AWS

Key Responsibilities:

Design, build, and optimize scalable ETL/ELT data pipelines on AWS

Data ingestion, transformation, and integration using Spark, AWS Glue, and SQL

Manage and optimize cloud storage and compute environments

Robust, automated deployments with Terraform and Jenkins

Collaborate with cross-functional teams to deliver high-quality data products

Nice to Have:

Prior Healthcare / Life Sciences domain experience

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

Grow in a fast-paced, innovation-driven environment

📩 Apply Now!

👉 Send your updated resume to: [email protected]

👉 Application directly received on Email will get immediate response Rather than Easy apply.

#SQL #PySpark #Jenkins #Terraform #CICD #ETLPipelines #DataPipelines #AWS #Python #DataEngineer #DataEngineering #Hiring #HyderabadJobs #TechJobs #HealthcareTech #JobOpening #HiringNow