"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."
Virtusa is a global product and platform engineering services company that makes experiences better with technology. We help organizations grow faster, more profitably, and more sustainably by reimagining enterprises through domain-driven solutions. We combine strategy, design, and engineering, backed by unmatched expertise at the intersection of industry, business, and technology to generate real-world business impact for clients.
Headquartered in Massachusetts with global delivery centers, Virtusa provides a broad range of services, solutions, and assets, including strategy and design, AI advisory and services, digital engineering, data and analytics, digital assurance, cloud and security, cx transformation and managed services across industries such as financial services, healthcare, communications, media, entertainment, travel, manufacturing, and technology.
