
Principal Data Solutions Specialist
4 days ago
We are seeking a skilled data engineer to join our team. The ideal candidate will have strong experience in CI/CD practices, Databricks (Spark), Python, and GitHub.
- 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 (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.
Key Responsibilities:
- 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.
You will be working on designing, developing, and maintaining scalable data architectures. If you are passionate about data engineering and enjoy solving complex problems, this is the perfect opportunity for you.
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