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 AWSImplement data ingestion, transformation, and integration solutions using Spark / Databricks, Glue, and SQLManage and optimize cloud storage and compute environmentsEnsure robust, automated deployments with Terraform and JenkinsCollaborate with cross-functional teams to deliver high-quality data productsNice to Have :
Prior experience in the Healthcare / Life Sciences domainFamiliarity with modern data lake and data mesh architecturesWhy Join Us?
Work on cutting-edge data engineering projects in healthcare analyticsHybrid work model for flexibility and collaborationOpportunity to grow in a fast-paced, innovation-driven environmentApply Now!
Send your updated resume to careers@sidinformation.com