
Chief Data Pipeline Architect
4 days ago
Are you looking to build a rewarding career as a data engineer? This role involves designing, implementing, and managing data pipelines using various tools and technologies. We are seeking a skilled professional who can leverage their expertise in CI/CD practices, Databricks (Spark), Python, GitHub, and SQL to drive business success.
Job DescriptionThis is a key position within our organization, responsible for developing and maintaining robust data pipelines using Python and SQL. The successful candidate will be expected to design, implement, and manage CI/CD pipelines using GitHub Actions or equivalent tools, configure and maintain GitHub branch protection rules and workflows, build, optimize, and debug Spark jobs in Databricks for large-scale data processing, automate Databricks deployments using Databricks Asset Bundles (DABs) or similar frameworks, and develop, test, and maintain unit tests, validation, and quality checks for data workflows.
Required Skills and Qualifications- 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.
We are looking for a highly motivated and experienced data engineer who can join our team and contribute to the development of our data infrastructure. If you have a passion for working with data and are excited about the opportunity to drive business success, we encourage you to apply for this role.
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