
Senior Data Pipeline Specialist
2 weeks ago
Data Engineer Position
We are seeking an experienced data professional to design, implement, and manage large-scale data pipelines and deployments.
Key Responsibilities:
- Design and implement continuous integration/continuous deployment (CI/CD) pipelines using modern tools.
- Configure and maintain branch protection rules and workflows for smooth code integration and deployment.
- Build, optimize, and debug Spark jobs in Databricks for efficient data processing.
- Automate Databricks deployments using Asset Bundles 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 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.
- Partner with cross-functional teams to deliver data models, insights, and reporting they can trust.
Requirements:
- Strong skills in SQL, Databricks (Spark), and Python/R programming languages.
- Experience in implementing unit tests and quality checks in data workflows.
- Familiarity with CI/CD practices and modern DevOps tools.
- Hands-on experience with Tableau/Power BI dashboards and a good sense for usability.
- Knowledge of cloud data warehouses and data engineering principles.
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