Senior data engineer (aws,python, spark/databricks, sql)

Role: Senior Data Engineer (Python, Spark/Databricks, SQL, AWS)
Experience: 6–12 years
Location: Hyderabad
Work Mode: Hybrid (3 days/week in-office)
Join Time: Immediate
Must-Have Technical Skills:
Strong programming skills in Python or Scala, Spark/Databricks
Hands-on experience with Apache Spark for big data processing on AWS cloud
Proficiency with AWS services such as S3, Glue, Redshift, EMR, Lambda
Strong SQL skills for data transformation and analytics
Expertise in setting up and managing CI/CD pipelines with Jenkins
Responsibilities:
Design, build, and optimize scalable data pipelines on AWS
Implement data ingestion, transformation, and integration solutions using Spark/Databricks, 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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