Databricks Data Engineer - Bengaluru

Job Description: We are Omnissa!  The world is evolving fast, and organizations everywhere—from corporations to schools—are under immense pressure to provide flexible, work-from-anywhere solutions. They need IT infrastructure that empowers employees and customers to access applications from any device, on any cloud, all while maintaining top-tier security. That’s where Omnissa comes in.  The Omnissa Platform is the first AI-driven digital work platform that enables smart, seamless and secure work experiences from anywhere. It uniquely integrates multiple industry-leading solutions including Unified Endpoint Management, Virtual Apps and Desktops, Digital Employee Experience, and Security & Compliance through common data, identity, administration, and automation services. Built on the vision of autonomous workspaces - self configuring, self-healing, and self-securing - Omnissa continuously adapts to the way people work, delivering personalized and engaging employee experiences, while optimizing security, IT operations and costs. we're experiencing rapid growth—and this is just the beginning of our journey! At Omnissa, we’re driven by a shared mission to maximize value for our customers. Our five Core Values guide us: Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value—all with the aim of achieving shared success for our clients and our team.  As a global private company with over 4,000 employees, we’re always looking for passionate, talented individuals to join us. If you're ready to make an impact and help shape the future of work, we’d love to hear from you!  What is the opportunity? You will join the team building and operating Omnissa's Enterprise Data Lakehouse. As an individual contributor, you will design and ship pipelines, models, and analytics that power Enterprise reporting (ARR, Bookings, Revenue, GTM, and Product telemetry) and increasingly support our AI initiatives. What you'll do Build and operate end-to-end data pipelines on the Lakehouse — ingestion, transformation, and serving — across AWS and Databricks. Design and develop interactive, insightful dashboards and reports in Tableau/Superset for a mixed technical and business audience. Write efficient, scalable, secure SQL and Python, processing large datasets with Databricks (Spark) and federated engines like Starburst/Trino/AWS Athena. Model and manage data in open table formats (Apache Iceberg, Delta Lake), optimizing for cost and performance. Orchestrate workflows with Apache Airflow and Databricks Workflows; ship changes through GitHub Actions CI/CD. Apply data governance, data quality, and metadata practices using Unity Catalog and/or Alation (cataloging, lineage, access policies). Partner with analysts, product, and business stakeholders — translating business questions into robust data solutions.