Senior Big Data Developer

3 days ago

Ajmer, Rajasthan, India beBeeDataEngineer Full time ₹ 1,20,00,000 - ₹ 1,80,00,000

We are seeking a skilled professional to fill the role of Data Engineer. The ideal candidate will have hands-on experience in building and automating data pipelines, managing multi-environment deployments, and working with modern DevOps/configuration management tools.

Key Responsibilities
  • Design, implement, and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines using GitHub Actions or equivalent tools.
  • Configure and maintain GitHub branch protection rules and workflows to ensure smooth code integration and deployment.
  • Build, optimize, and debug Spark jobs in Databricks for large-scale data processing.
  • Automate Databricks deployments using Databricks Asset Bundles (DABs) or similar frameworks.
  • Develop, test, and maintain robust data pipelines using Python and SQL.
  • Implement unit testing, validation, and quality checks for data workflows.
  • Manage multi-environment deployments (Development, Staging, Production) 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.
  • Keep critical Databricks notebooks running reliably to ensure 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.
  • Establish guardrails with data contracts, quality checks, and documentation to ensure long-term reliability.
Requirements
  • Strong skills in SQL, Databricks (Spark), and Python/R programming languages.
  • Experience with GitHub and CI/CD practices (branch protection, GitHub Actions workflows).
  • Unit testing and quality checks in data workflows.
  • Databricks Asset Bundles (DABs) or similar automation tools.
  • YAML configuration management, debugging, and error resolution.
  • Strong problem-solving and debugging skills in data engineering workflows.
  • Snowflake or another cloud data warehouse.
  • Tableau/Power BI dashboards and usability.

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