Senior/lead data engineer (aws,python, sql, pyspark)

Role: Senior / Lead Data Engineer (Python, Py Spark, 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 (Ia C) 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!

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