Mid-Level Databricks Data Engineer
hace 1 semana
Responsibilities:
- Design, develop, and implement data processing pipelines using Spark in Databricks notebooks.
- Optimize data workflows for performance, scalability, and reliability.
- Collaborate with data scientists and analysts to understand data requirements and deliver actionable insights.
- Ensure compliance with data governance and security standards.
- Incorporate core data management competencies including data governance, data security, and data quality.
- Work cross-functionally to understand data opportunities and build pipelines and dictionaries for potential data sources.
- Ensure data quality through automating testing and auditing.
- Experience in CI/CD pipelines using Jenkins.
- Manage code repositories and version control using Bitbucket.
Skills:
- Proficiency in Databricks and basic AWS.
- Familiarity with data science, business intelligence, and data analytics.
- Knowledge of data integration, data warehousing, modeling, and presentation tactics and concepts.
- Proficiency in Power BI, including data visualization, relational databases, and communication.
- Experience with data transformation and ETL processes.
- Strong grasp of data modeling principles such as Dimensional modeling and data normalization principles.
- Proficiency in Python and SQL.
- Experience with Jenkins for continuous integration and continuous delivery.
- Familiarity with Bitbucket for code hosting and collaboration2.
Experience:
- Recommended experience: 2+ years of hands-on experience performing the data engineering tasks.
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