Lead Databricks Developer

I8IS INC.

  • Wilmington, DE
  • 12 days ago

    Highlights

    Design, develop, and maintain ETL/ELT pipelines using Databricks and PySpark- Build scalable batch and real-time data processing solutions using Apache Spark- Develop data transformation workflows using Python, PySpark, and Spark SQL- Implement Delta Lake solutions and optimize data processing performance- Create and manage Databricks notebooks, jobs, and workflows- Ensure data quality, validation, logging, and exception handling- Optimize Spark performance using partitioning, caching, and tuning techniques- Collaborate with cross-functional teams to gather requirements and deliver solutions- Support CI/CD, deployment automation, and production releases- Troubleshoot and resolve issues in data pipelines and platform processes. Summary: We are looking for a Lead Databricks Developer with strong experience in Python and Apache Spark to design, develop, and optimize scalable data pipelines and cloud-based data solutions.

    Numbers & Facts

    LocationWilmington, DE

    Description

    Job Title: Lead Databricks Developer

    Location: Wilmington, DE or Plano, TX – 5 Days onsite role


    Summary: We are looking for a Lead Databricks Developer with strong experience in Python and Apache Spark to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate will have hands-on expertise in Databricks, PySpark, SQL, and modern data engineering practices.

     

    Key Responsibilities:-

    Design, develop, and maintain ETL/ELT pipelines using Databricks and PySpark- Build scalable batch and real-time data processing solutions using Apache Spark- Develop data transformation workflows using Python, PySpark, and Spark SQL- Implement Delta Lake solutions and optimize data processing performance- Create and manage Databricks notebooks, jobs, and workflows- Ensure data quality, validation, logging, and exception handling- Optimize Spark performance using partitioning, caching, and tuning techniques- Collaborate with cross-functional teams to gather requirements and deliver solutions- Support CI/CD, deployment automation, and production releases- Troubleshoot and resolve issues in data pipelines and platform processes

     

    Required Skills:-

    • Strong hands-on experience with Databricks
    • Strong Python programming skills
    • Strong in communication and proactive.
    • Expertise in Apache Spark, PySpark, and Spark SQL- Strong SQL and data transformation skills
    • Experience with Delta Lake and lakehouse concepts- Knowledge of ETL/ELT and data pipeline design
    • Experience with AWS, Azure, or GCP- Familiarity with Git, CI/CD, and Agile practices
    • Good problem-solving and communication skills

     

    Preferred Skills:-

    • Experience with Airflow, Azure Data Factory, or Databricks Workflows
    • Knowledge of Kafka or streaming frameworks
    • Experience with MLflow or analytics platforms
    • Understanding of data governance and security best practices


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