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

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

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

Experience: 612 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 JavaBig Data: Apache Spark / PySpark for large-scale data transformationAWS Stack: S3, AWS Glue, Redshift, Athena, EMR, Lambda, AWS BatchDatabase: Advanced SQL for complex transformation & analyticsIaC & DevOps: Hands-on experience with Terraform & CI/CD using JenkinsVersion Control: Advanced GitHub mechanics (Git-Flow, Rebasing, Squashing)

Key Responsibilities:

Design, build, and optimize scalable ETL/ELT data pipelines on AWSData ingestion, transformation, and integration using Spark, AWS Glue, and SQLEnsure robust, automated deployments with Terraform and JenkinsCollaborate with cross-functional teams to deliver high-quality data products

Nice to Have:

Prior Healthcare / Life Sciences domain experienceFamiliarity 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 analyticsHybrid work model for flexibility and collaborationFast-paced, innovation-driven environment

Apply at: hidden_email

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

#HiringNow

#DataEngineering

#PySpark

#AWS

#Python

#SQL

#Jenkins

#CICD

#Redshift

#Terraform

#HealthcareAnalytics

#HyderabadJobs

#ImmediateJoiners

#AWSGlue

#DataPipeline

#BigData .