
Data Pipeline Architect
4 days ago
We are seeking a skilled Data Engineer to design and implement robust data pipelines using Python and SQL.
Key responsibilities include designing, implementing, and managing CI/CD pipelines using GitHub Actions or equivalent tools.
- Key Responsibilities:
- Design and implement efficient 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 (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.
- 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.
- Put guardrails in place with data contracts, quality checks, and documentation to ensure long-term reliability.
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