Description

Must-Have Skills:
Databricks (Delta Lake, Notebooks, Pipelines, Cluster Management)
Apache Spark & PySpark
AWS (S3, EC2, Lambda, Glue, SNS, SQS, ECS, IAM, CloudWatch)
Teradata & Teradata SQL
Ab Initio
ETL/ELT Development & Data Engineering
Healthcare Domain Experience (Mandatory)
Git, Jenkins, Artifactory, CI/CD & DevOps
Unix/Linux Shell Scripting (KSH)

Key Responsibilities:
Design and build scalable cloud-native data solutions on AWS.
Develop and optimize Spark/PySpark ETL pipelines using Databricks.
Collaborate with business and technical stakeholders in an Agile environment.
Support enterprise data lake and data warehouse modernization initiatives.
Ensure high-performance, reliable, and production-ready data pipelines.

Preferred:
Jira & Confluence
Hive SQL / Spark SQL
Cloud migration & modernization experience
Azure/AWS integration
Enterprise scheduling tools (CA7)

Key Skills

Education

Any Graduate