Jobs → Data & Analytics → Azure Data Engineer

About the Role We are looking for an experienced Azure Data Engineer with strong Databricks expertise to build, optimize, and maintain scalable data pipelines and cloud-based data solutions. Key Responsibilities • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks • Process and transform large datasets using PySpark, Spark, and SQL • Optimize data pipelines for performance, scalability, and cost efficiency • Implement data governance and access controls using Unity Catalog • Deploy Databricks jobs, notebooks, and configurations using Databricks Asset Bundles • Collaborate with business and technical teams to deliver reliable data solutions Requirements • Azure Cloud & Azure Data Engineering • Databricks – Delta Lake, Unity Catalog & Lakehouse Architecture • Python, PySpark, Apache Spark & SQL • ETL/ELT Pipeline Development • Azure Data Lake Storage (ADLS) & Azure Blob Storage • Delta Live Tables / Lakeflow Declarative Pipelines • Databricks Runtime & Table Triggers • Databricks Asset Bundles (DABs) • GitLab & Version Control • Data Warehouse, Data Governance & Security Preferred Certifications • Azure Data Engineer Associate or Databricks Certified Data Engineer Associate