
Building Enterprise-Level Data Processing Systems
2 weeks ago
Job Title: Data Architect
Job Description:We are seeking an experienced Data Engineer to design, implement and manage large-scale data processing systems.
The ideal candidate will have a strong background in cloud-based technologies, particularly Databricks (Spark), Python, and SQL.
Key Responsibilities:
- 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.
- Develop, test and maintain robust data pipelines using Python and SQL.
Requirements:
- Strong skills in SQL, Databricks (Spark), and Python/R.
- Experience in implementing unit tests and quality checks in data workflows.
- Knowledge of Databricks Asset Bundles (DABs) or similar automation tools.
Benefits:
- Opportunity to work with cutting-edge technologies.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
What We're Looking For:
- Candidates with experience in data engineering and architecture.
- Individuals with strong problem-solving and debugging skills.
- Team players who can collaborate effectively.
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