Senior /Lead Data Engineer (Python, SQL, PySpark, AWS)

🚀 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: [email protected]

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

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