Remote: Hybrid

Role: Senior / Lead Data Engineer (Python, PySpark, SQL, AWS)Experience: 6–12 yearsLocation: HyderabadWork Mode: Hybrid (3 days/week in-office)Open Positions: 5Join Time: ImmediateDomain : Healthcare / Life SciencesMust-Have Technical Skills:Strong programming skills in Python and/or ScalaHands-on experience with Apache Spark for big data processing on AWS cloudProficiency with AWS services such as S3, AWS Glue, Athena, Redshift, EMR, LambdaStrong SQL skills for data transformation and analyticsExperience in Infrastructure as Code (IaC) using TerraformExpertise in setting up and managing CI/CD pipelines with JenkinsResponsibilities:Design, build, and optimize scalable ETL/ELT data pipelines on AWSImplement data ingestion, transformation, and integration solutions using Spark, AWS 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 quick-paced, innovation-driven environmentApply Now!Send your updated resume to [email protected]

📌 Senior/Lead Data Engineer (AWS,Python, SQL, PySpark) (Hyderabad)
🏢 SID Information Technologies
📍 Hyderabad