Databricks Engineer

2 weeks ago

Mississauga, Ontario, Canada VeriiPro Full time

We are seeking a highly skilled Azure Data Engineer with strong expertise in Databricks to join our data team. The ideal candidate will design, implement, and optimize a 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:

  • Build and maintain scalable ETL/ELT pipelines using Databricks.
  • 10+ years of experience is required.
  • Leverage PySpark/Spark and SQL to transform and process large datasets.
  • Integrate data from multiple sources, including Azure Blob Storage, ADL, S, and other relational/non-relational systems.

Collaboration & Analysis:

  • 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.

Performance & Optimization:

  • 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.

Deployment:

  • Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments.
  • 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.
  • Strong programming skills in Python.
  • 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)

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