Job Description
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)
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