Hiring: Senior / Lead Data Engineer (Python, PySpark, AWS, SQL, Terraform, Jenkins)

Location: Hyderabad | Work Mode: Hybrid (3 days/week in-office)

Experience: 6–12 Years (4+ Yrs in AWS Data Pipelines)

⏳ Notice Period: Immediate Joiners (Max 30 Days)

Domain: Healthcare & Life Sciences

Role Overview

We are expanding our Healthcare Analytics team! We are looking for Senior & Lead Data Engineers with a 360-degree design mindset to build, optimize, and scale automated ETL/ELT data pipelines and cloud data platforms on AWS.

Must Have Skills:

- Languages: Strong proficiency in Python, Scala, or Java
- Big Data: Apache Spark / PySpark for large-scale data transformation
- AWS Stack: S3, AWS Glue, Redshift, Athena, EMR, Lambda, AWS Batch
- Database: Advanced SQL for complex transformation & analytics
- IaC & DevOps: Hands-on experience with Terraform & CI/CD using Jenkins
- Version Control: Advanced GitHub mechanics (Git-Flow, Rebasing, Squashing)

Key Responsibilities:

- Design, build, and optimize scalable ETL/ELT data pipelines on AWS
- Data ingestion, transformation,



and integration using Spark, AWS Glue, and SQL
- Ensure robust, automated deployments with Terraform and Jenkins
- Collaborate with cross-functional teams to deliver high-quality data products

Nice to Have:

- Prior Healthcare / Life Sciences domain experience
- Familiarity with Modern architectures (Data Lake, Data Lakehouse, Data Mesh)
- Streaming/NoSQL experience (Kinesis, Kafka, SQS, DynamoDB)

Why Join Us?

- Work on cutting-edge data engineering projects in healthcare analytics
- Hybrid work model for flexibility and collaboration
- Rapid-paced, innovation-driven environment

Apply at: [email protected]

Application directly received on Email will get immediate response Rather than Easy apply.

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