
Senior Data Engineering Specialist
11 hours ago
We are seeking a Data Engineer with strong expertise in implementing CI/CD pipelines, Databricks (Spark), Python, and SQL. This role involves building, optimizing, and debugging Spark jobs in Databricks for large-scale data processing.
- Key Responsibilities:
- Design and implement 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.
- Automate Databricks deployments using Databricks Asset Bundles (DABs) or similar frameworks.
- Develop and maintain robust data pipelines using Python and SQL.
- Implement unit testing, validation, and quality checks for data workflows.
- Manage multi-environment deployments (Dev, Stage, Prod) ensuring reliability and consistency.
- Troubleshoot and resolve configuration or syntax issues in YAML and related files.
- Keep critical Databricks notebooks running reliably to ensure business continuity.
Requirements:
- Strong skills in SQL, Databricks (Spark), and Python/R.
- Strong knowledge of GitHub and CI/CD practices (branch protection, GitHub Actions workflows).
- Experience in implementing unit tests and quality checks in data workflows.
- Knowledge of Databricks Asset Bundles (DABs) or similar automation tools.
- Familiarity with YAML configuration management, debugging, and error resolution.
- Strong problem-solving and debugging skills in data engineering workflows.
- Experience with Snowflake or another cloud data warehouse.
- Hands-on experience with Tableau/Power BI dashboards and a good sense for usability.
Benefits
This role offers the opportunity to work with cutting-edge technologies, collaborate with cross-functional teams, and contribute to the development of reliable and scalable data solutions.
About Us
We are a forward-thinking organization that values innovation, collaboration, and continuous learning.
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