Key Responsibilities

• Build and maintain scalable ETL/ELT pipelines using Databricks.
• Leverage PySpark/Spark and SQL to transform and process large datasets.
• Integrate data from multiple sources, including Azure Blob Storage, ADLS, and other relational/non-relational systems.

• Work closely with multiple teams to prepare data for the dashboard and BI Tools.
• Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.

• Optimize Databricks workloads for cost efficiency and performance.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.

Governance & Security:

• Implement and manage data security, access controls, and governance standards using Unity Catalog.
• Ensure compliance with organizational and regulatory data policies.

• Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks, and configurations across environments.
• Manage version control for Databricks artifacts and collaborate with the team to maintain development best practices.

Technical Skills

• Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.)
• Proficiency in Azure Cloud Services.
• Solid Understanding of Spark and PySpark for big data processing.
• Strong programming skills in Python.
• Experience in relational databases.
• Knowledge on Databricks Asset Bundles and GitLab.

• Familiarity with Databricks Runtimes and advanced configurations.
• Knowledge of streaming frameworks like Spark Streaming.
• Experience in developing real-time data solutions.

• Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)

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