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

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 fast-paced, innovation-driven environment

📩 Apply Now!

Send your updated resume to [email protected]