Highly Skilled Data Engineer Position

1 day ago


Allahabad, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 10,00,000 - ₹ 15,00,000

Key Roles and Responsibilities:

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  • Design, implement and maintain large-scale data processing pipelines using Spark jobs in Databricks.
  • Configure and manage GitHub branch protection rules and workflows to ensure seamless code integration and deployment.
  • Build, optimize and debug Spark jobs for efficient data processing.
  • Automate Databricks deployments using Asset Bundles or similar frameworks.
  • Develop and test robust data pipelines using Python and SQL.
  • Perform unit testing, validation, and quality checks for data workflows.
  • Manage multi-environment deployments (Dev, Stage, Prod) ensuring reliability and consistency.
  • Write and maintain configuration files (YAML, JSON) for workflows, pipelines, and automation.
  • Troubleshoot and resolve configuration or syntax issues in YAML and related files.
  • Ensure critical Databricks notebooks run reliably for business continuity.
  • Migrate legacy reports into modern self-serve dashboards (Snowflake, Tableau, Power BI).
  • Partner with cross-functional teams to understand needs and deliver data models, insights, and reporting they can trust.
  • Use data contracts, quality checks, and documentation to ensure long-term reliability.

Essential Skills and Qualifications:

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  • Strong skills in SQL, Databricks (Spark), and Python/R programming languages.
  • Knowledge of GitHub and CI/CD practices (branch protection, GitHub Actions workflows).
  • Experience in implementing unit tests and quality checks in data workflows.
  • Familiarity with Databricks Asset Bundles or similar automation tools.
  • Hands-on experience with Snowflake or another cloud data warehouse.
  • Experience with Tableau/Power BI dashboards and good usability sense.
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