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Listed on Jul 09, 2024
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Job Descritpion of Databricks Developer

4+ Years Relevant Experience

Key Responsibilities:

  • Design, develop, and optimize ETL/ELT data pipelines using Apache Spark on Databricks.
  • Collaborate with data engineers, analysts, and business stakeholders to understand data requirements.
  • Implement scalable data processing solutions on Azure Databricks or AWS Databricks.
  • Write efficient Spark code in PySpark, Scala, or SQL within the Databricks environment.
  • Integrate Databricks with various data sources like Azure Data Lake, AWS S3, Delta Lake, SQL Server, etc.
  • Develop and maintain Delta Lake tables and handle versioned data.
  • Monitor and troubleshoot jobs, workflows, and cluster performance.
  • Apply CI/CD best practices for Databricks notebooks using tools like Git, Azure DevOps, or Jenkins.
  • Ensure data security and governance policies are followed, including role-based access control and audit logging.

Required Skills:

  • 5+ years of experience in Data Engineering or Big Data development.
  • Strong expertise in Databricks, Apache Spark, and Delta Lake.
  • Hands-on experience with PySpark, SQL, and optionally Scala.
  • Good understanding of cloud platforms (Azure or AWS), especially storage, compute, and networking components.
  • Familiarity with Databricks Workflows, Jobs, and Cluster management.
  • Experience in data modeling, data warehousing, and data lakehouse architecture.
  • Knowledge of version control systems (Git) and CI/CD pipelines.
  • Ability to work in Agile development environments and handle multiple tasks.

Required Skills for Databricks Developer Job

  • Databricks Developer
  • PySpark and AWS
  • Python
  • CI/CD
  • ETL

Our Hiring Process

  • Screening (HR Round)
  • Technical Round 1
  • Technical Round 2
  • Final HR Round
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