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3 Days Left : Data Engineer

3 Days Left : Data Engineer

ACL DigitalIndia
11 hours ago
Job description
  • Design, develop, and optimize Spark-based data pipelines on Databricks for large-scale data processing.
  • Design, develop, and optimize AWS pipeline as applicable.
  • Implement and manage GitHub asset bundles for version control, CI / CD workflows, and collaborative development.
  • Leverage Databricks capabilities including Delta Lake, MLflow, and notebooks to build robust data solutions.
  • Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality, production-ready datasets.
  • Ensure data quality, integrity, and security across all stages of the pipeline.
  • Monitor and troubleshoot performance issues in Spark jobs and Databricks clusters.
  • Document technical designs, workflows, and best practices.

    • Required Qualifications

    • Minimum 5+ years of hands-on experience with Spark in a production environment.
    • Strong proficiency in Databricks platform and ecosystem.
    • Solid understanding of GitHub asset bundle management, including branching strategies, pull requests, and release workflows.
    • Proficient in Python, Scala, or SQL for data engineering tasks.
    • Experience with Delta Lake, Structured Streaming, and Databricks Workflows.
    • Familiarity with cloud platform (AWS) and AWS data services.
    • Excellent problem-solving and communication skills.
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