Description

  • Data Integration and ETL Develop and maintain Extract, Transform, Load (ETL) processes to integrate data from various sources into a unified data warehouse.
  • Data Modeling and Database Management by Designing and implementing data models to support business reporting and analytics requirements.
  • Python Programming by Utilizing Python for data manipulation, analysis, and scripting tasks
  • Data Quality and Governance Collaborate with stakeholders to define and enforce data quality standards.
  • Data Warehousing by Designing, implementing, and maintaining data warehouses to provide a central repository for analytics and reporting.
  • Develop interactive and visually appealing reports and dashboards using Power BI.
  • Perform exploratory data analysis to discover patterns, trends, and insights.
  • Implement automation for data pipeline scheduling, monitoring, and error handling.
  • Work closely with data scientists, business analysts, and other stakeholders to understand data needs and deliver effective solutions.
  • Monitoring data pipeline and database performance and implementation optimizations as needed.

Key Skills
Education

Any Graduate

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