Azure Databricks
3 days ago
Position: Azure Databricks Engineer (On-site, India)
About the OpportunityWe are hiring on behalf of a client seeking an experienced Azure Databricks Engineer to build and operate production-grade data platforms. The role sits at the intersection of data engineering, cloud infrastructure, and analytics—delivering scalable ETL/ELT pipelines, performant analytics layers, and robust data governance using Azure-native tooling and Databricks.
Role & Responsibilities- Design, develop, and optimise end-to-end ETL/ELT pipelines on Azure Databricks using PySpark and Delta Lake to support analytics and ML use-cases.
- Implement scalable data ingestion patterns from batch and streaming sources, and integrate with Azure Data Factory, ADLS Gen2, and event streams.
- Tune Spark jobs, manage cluster configurations, and drive cost-performance optimizations for production workloads.
- Develop Databricks SQL models, notebooks, and CI/CD pipelines to automate deployment, testing, and versioning of data artifacts.
- Collaborate with data scientists, analysts, and platform teams to operationalise ML training/inference and ensure data quality, lineage, and governance.
- Create monitoring, observability, and runbook procedures for job failures, SLAs, and performance alerts.
Must-Have
- Azure Databricks
- Apache Spark
- PySpark
- Delta Lake
- Azure Data Factory
- Databricks SQL
Preferred
- Terraform
- Azure DevOps / CI-CD for Databricks
- Streaming platforms (Kafka/Event Hubs)
- Opportunity to work on enterprise-scale data platforms and influence architecture decisions.
- Collaborative, fast-paced environment with cross-functional exposure to analytics and ML teams.
- Competitive compensation and clear growth path for data engineering professionals.
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