About the role
from listing🚀 Hiring: Senior / Lead Platform Data Engineer (Python, PySpark, AWS, SQL, Terraform, Jenkins, DevOps)
📍 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 platform 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)
DevOps
🔹 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
Fast-paced, innovation-driven environment
📩 Apply at: k.vyas@sidinformation.com
👉 Application directly received on Email will get immediate response Rather than Easy apply.
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Seniority level: Mid-Senior level
Employment type: Full-time
Industries: IT Services and IT Consulting