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Lead Databricks Engineer

Abode Tech Zone

Role : Lead Databricks Engineer
Location : Iselin, NJ / NY (Hybrid)


zure Data Engineer with 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:
  • 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.
  • Collaboration & Analysis:
  • Work Closely with multiple teams to prepare data for 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.
  • 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:
  • zure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)
Vacancy posted 7 hours ago
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