Databricks Data Engineer
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Job Summary
We are seeking a Databricks Data Engineer to design develop and optimize scalable data pipelines supporting enterprise analytics AI/ML and Agentic AI solutions.
The ideal candidate should have strong hands-on experience with Azure Databricks Apache Spark (PySpark) Spark SQL and Delta Lake for building batch and streaming data pipelines.
Experience with Azure Data Lake Storage Unity Catalog Kafka/Event Hubs and data integration patterns is essential. The role requires expertise in ETL/ELT development Lakehouse architecture and data quality best practices.
Candidates should be proficient in Python SQL Git-based CI/CD and Terraform.
Experience with Azure cloud services and performance tuning of Spark workloads is highly desirable.
The engineer will collaborate with data scientists MLOps engineers and platform teams to deliver reliable governed and scalable data solutions.
Strong analytical troubleshooting and communication skills are essential in a collaborative enterprise environment.
Required Experience:
IC
About Company
At Virtusa, we are builders, makers, and doers. Digital engineering is in our DNA. It’s at the heart of everything we do.
