Databricks Data Engineer (Spark AND Unity)
Unison GroupMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout 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.