Data Engineer Position
Our organization seeks a skilled Data Engineer to support our product and technology team.
1. Key Responsibilities:
2. Data Pipeline Development: Design, build, and maintain scalable data pipelines and ETL processes.
3. Data Analysis: Clean, validate, and structure raw data from various sources to ensure data quality and usability.
4. Insight Generation: Analyze large datasets to identify trends, patterns, and actionable insights that support business decision-making.
5. Reporting and Visualization: Build and maintain dashboards, reports, and visualizations to communicate key performance metrics to stakeholders.
6. Cross-Functional Collaboration: Work cross-functionally with teams (e.g., finance, operations, marketing) to define data needs and solve business problems using data.
7. Engineering and Product Integration: Collaborate with engineering and product teams to understand and meet data requirements.
8. Data Modeling: Develop data models and schemas for analytics and reporting.
9. Pipeline Optimization: Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
10. Data Governance: Ensure data quality, governance, and security best practices are followed.
11. Third-Party API Integration: Work with third-party APIs and internal tools to extract, transform, and load data.