Senior Data Engineering Professional

2 weeks ago

Jamnagar, Gujarat, India beBeeDataEngineer Full time ₹ 80,00,000 - ₹ 1,20,00,000
Key Responsibilities
  • Data Pipeline Development:
  • Design and implement data pipelines using Python, SQL, and CI/CD practices.
  • Configure GitHub branch protection rules and workflows to ensure smooth code integration and deployment.
  • Spark Job Optimization:
  • Build, optimize, and debug Spark jobs in Databricks for large-scale data processing.
  • Automate Databricks deployments using Databricks Asset Bundles (DABs) or similar frameworks.
  • Robust Data Pipelines:
  • Develop, test, and maintain robust data pipelines using Python and SQL.
  • Implement unit testing, validation, and quality checks for data workflows.
  • Multi-Environment Deployments:
  • Manage multi-environment deployments (Dev, Stage, Prod) ensuring reliability and consistency.
  • Write and maintain configuration files (YAML, JSON) for workflows, pipelines, and automation.
  • Troubleshooting and Migration:
  • Troubleshoot and resolve configuration or syntax issues in YAML and related files.
  • Migrate legacy reports into modern, self-serve dashboards (Snowflake, Tableau, Power BI).

Our ideal candidate has strong skills in SQL, Databricks (Spark), and Python. Experience with implementing unit tests and quality checks in data workflows is a plus. They should also be knowledgeable about GitHub and CI/CD practices, including branch protection and workflow management.

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