Main Responsibilities:
- Design, build, and maintain scalable and efficient data pipelines for collecting, processing, and storing large datasets.
- Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
- Develop, implement, and optimize ETL (Extract, Transform, Load) processes for data integration from various sources.
- Ensure data quality, consistency, and accuracy across all systems.
- Perform data cleansing, transformation, and aggregation tasks as part of the data pipeline.
- Monitor, troubleshoot, and optimize data workflows for performance and reliability.
- Design and implement data models and schemas for efficient storage and querying.
- Maintain data infrastructure and ensure best practices for data governance and security are followed.
- Collaborate with cross-functional teams to provide insights and support business objectives through data-driven solutions.
- Continuously evaluate and implement new technologies and tools to improve the performance and scalability of data systems.
Qualifications & Experience:
- Bachelor's degree in Computer Science, Engineering, or a related fields.
- Minimum 10 years of proven work experience with Power BI.
- E2E knowledge in working with Azure.
- Prior experience in developing Power BI including backend data transformation.
