Databricks Data Engineer (Spark AND Unity)
Unison Group (company site, opens in a new tab)3–4 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 13d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable data pipelines on Azure Databricks using Spark, Delta Lake, and Medallion Architecture to ensure data quality and versioning.
- Develop and maintain ETL/ELT processes integrating Azure data stores (ADLS Gen2, Azure SQL Database, SQL Pools) and manage workflows via Databricks orchestration.
- Implement CI/CD pipelines in Azure DevOps for Databricks deployments, enforce data governance with Unity Catalog, and ensure performance and cost efficiency with monitoring and auto-scaling.
Minimum Requirements
- 3-4 years work experience in data engineering with a focus on Azure Databricks pipelines and ETL processes.
- Proficiency in PySpark, SQL, and Python programming languages.
- Experience with cloud data storage services (ADLS Gen2, Azure SQL Database) and basic orchestration tools.
- Familiarity with Azure fundamentals and collaborative development tools.
Ideal Candidate Profile
- Experienced with implementing Medallion Architecture and Delta Live Tables for data quality management in Databricks environments.
- Skilled at developing CI/CD pipelines using Azure DevOps and infrastructure automation (e.g., Bicep templates).
- Able to translate stakeholder requirements into functional data workflows, handling both structured and unstructured data using Python and SQL scripting.