Role: Senior Azure Data Engineer (Databricks Expertise)

Job Summary:

We are seeking highly skilled Azure Data Engineer with strong expertise in Databricks to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions.

Key Responsibilities:

Data Pipeline Development:

o Build and maintain scalable ETL/ELT pipelines using Databricks.

o Leverage PySpark/Spark and SQL to transform and process large datasets.

o Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.

Collaboration & Analysis:

o Work Closely with multiple teams to prepare data for dashboard and BI Tools.

o Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.

Performance & Optimization:

o Optimize Databricks workloads for cost efficiency and performance.

o Monitor and troubleshoot data pipelines to ensure reliability and accuracy.

Governance & Security:

o Implement and manage data security, access controls and governance standards using Unity Catalog.

o Ensure compliance with organizational and regulatory data policies.

Deployment:

o Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.

o Manage version control for Databricks artifacts and collaborate with 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.

• Experience in relational databases.

• Knowledge on Databricks Asset Bundles and GitLab.

Preferred Experience:

• Familiarity with Databricks Runtimes and advanced configurations.

• Knowledge of streaming frameworks like Spark Streaming.

• Experience in developing real-time data solutions.

Certifications:

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