Senior Data Engineer
Posted Updated
Job Summary (List Format):
- Lead and manage complex data analysis projects to support strategic business decisions.
- Mentor and supervise junior data analysts, providing guidance and oversight on their projects.
- Develop, refine, and enforce policies and standards for data analysis and data handling.
- Collaborate directly with stakeholders to gather requirements and deliver actionable data insights.
- Design and implement key performance indicators (KPIs) and innovate new data collection and analysis processes.
- Collect, organize, and maintain data from various (primary and secondary) sources.
- Independently analyze and interpret data trends and patterns to inform business strategies.
- Develop and implement efficient data analyses, data collection systems, and strategies to optimize statistical quality.
- Acquire and manage data, maintaining robust databases and data systems.
- Produce detailed reports and data visualizations, providing stakeholders with actionable insights.
- Work cross-functionally with other teams to assess and deliver on business requirements.
- Utilize expertise in Azure Data Factory and Databricks to build and optimize data pipelines and workflows.
- Apply advanced SQL skills for data querying, troubleshooting, and performance optimization.
- Demonstrate proficiency in data modeling, statistical programming (Python, R), and business intelligence tools (Tableau, Power BI).
- Exhibit strong leadership, project management, problem-solving, and critical thinking abilities.
- Lead and manage complex data analysis projects to support strategic business decisions.
- Mentor and supervise junior data analysts, providing guidance and oversight on their projects.
- Develop, refine, and enforce policies and standards for data analysis and data handling.
- Collaborate directly with stakeholders to gather requirements and deliver actionable data insights.
- Design and implement key performance indicators (KPIs) and innovate new data collection and analysis processes.
- Collect, organize, and maintain data from various (primary and secondary) sources.
- Independently analyze and interpret data trends and patterns to inform business strategies.
- Develop and implement efficient data analyses, data collection systems, and strategies to optimize statistical quality.
- Acquire and manage data, maintaining robust databases and data systems.
- Produce detailed reports and data visualizations, providing stakeholders with actionable insights.
- Work cross-functionally with other teams to assess and deliver on business requirements.
- Utilize expertise in Azure Data Factory and Databricks to build and optimize data pipelines and workflows.
- Apply advanced SQL skills for data querying, troubleshooting, and performance optimization.
- Demonstrate proficiency in data modeling, statistical programming (Python, R), and business intelligence tools (Tableau, Power BI).
- Exhibit strong leadership, project management, problem-solving, and critical thinking abilities.