About this role
Interview - Face to face
Position Overview: Build and maintain scalable data pipelines using Azure Databricks to support DATA & AI ACDP projects. Apply 3-4 years of experience to deliver reliable ETL processes and collaborate on data-driven insights.
Key Responsibilities
-
Design, build, and optimize data pipelines in Azure Databricks for ingestion, ETL/ELT, and transformations, implementing Medallion Architecture (Bronze, Silver, Gold) with Delta Lake for data quality and versioning.
-
Utilize Databricks Spark (PySpark, SQL), Delta Live Tables, and Unity Catalog for pipeline development, governance, and basic streaming.
-
Integrate data from ADLS Gen2, Azure SQL Database, and SQL Pools; support orchestration via Databricks workflows.
-
Implement CI/CD in Azure DevOps for Databricks deployments, including Bicep templates and ADF integration.
-
Apply data quality measures (expectations, constraints), security (RBAC, encryption), and monitoring for performance/cost efficiency using auto-scaling and Photon.
-
Work with analysts and stakeholders to refine requirements into functional workflows; handle data cleansing, modeling, and Python/SQL scripting for structured/unstructured data.
-
Troubleshoot pipelines and contribute to documentation/best practices. Required Qualifications:
-
8 years in data engineering, focused on Azure Databricks pipelines and ETL
-
Proficiency in PySpark, SQL, Python; experience with cloud storage and basic orchestration
-
Familiarity with Azure fundamentals and collaborative tools