
Chief Data Architect
6 days ago
- Design, implement, and manage 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 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 related files.
- Keep critical Databricks notebooks running reliably to ensure business continuity.
- Migrate legacy reports into modern self-serve dashboards Snowflake Tableau Power BI.
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.
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