You will work on high-impact data engineering initiatives, collaborating with analytics, AI/ML, and business teams to deliver reliable and performant data solutions
Job Summary
You will work on high-impact data engineering initiatives, collaborating with analytics, AI/ML, and business teams to deliver reliable and performant data solutions.
This role will also be involved in migrating enterprise data workloads from AWS-based platforms to Databricks, contributing to our broader data modernization journey.
Work on large-scale data platform modernization with hands-on ownership of Databricks Lakehouse architecture.
Matching Summary
You will work on high-impact data engineering initiatives, collaborating with analytics, AI/ML, and business teams to deliver reliable and performant data solutions.
Skills & Requirements
Must-have
Databricks
Apache Spark (PySpark)
Delta Lake Medallion architectures
Structured Streaming
AWS
Python
Nice-to-have
Unity Catalog and data governance
CI/CD pipelines and DevOps
Terraform, dbt, or Airflow
Databricks certification
Key Requirements
4-6+ years of experience in Data Engineering
Hands-on experience with Databricks on AWS
Experience with Terraform (IAC)
Experience with SQL
Experience building scalable, production-grade data pipelines