Job Description

Role Name: Databricks Developer

Core Responsibilities (Data Engineer / Developer)

  • Data Pipeline Development: Design, build, and maintain scalable ETL/ELT processes using Databricks and Spark.
  • Spark Optimization: Tune and optimize Spark jobs and data transformations for performance.
  • Lakehouse Architecture: Implement data reliability, governance, and security using Delta Lake and Unity Catalog.
  • Workflow Orchestration: Automate data workflows using Databricks Workflows or tools such as Airflow.
  • Collaboration: Work with analysts and business stakeholders.

Key Skills & Technologies

  • Languages: PySpark, SQL.
  • Databricks Features: Delta Lake, Structured Streaming, Delta Live Tables (DLT).
  • Cloud Platforms: AWS, Azure, or GCP.
  • DevOps: Git, Terraform, CI/CD practices.
  • Tools: Databricks Notebooks, Databricks Repos.

Job Type: Full-time

Pay: Up to $10,000.00 per...

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