Assistant Manager - Data Engineer

• Integrate data from multiple sources including databases APIs and external data providers.
  
• Design build and maintain robust data pipelines to ingest process and transform data from various sources into usable formats.
  
• ETL (Extract Transform Load): Create ETL processes to clean transform and load data into our data warehouse.
  
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
  

• Develop and manage data warehousing solutions to store and organize large datasets efficiently.
  
• Design and implement data models that facilitate efficient querying and reporting.
  
• Monitor and optimize data pipelines and databases for performance and scalability.
  

• Maintain thorough documentation of data processes schemas and workflows
  

• Collaborate with data scientists analysts and other stakeholders to understand data requirements and provide data solutions to meet their needs.
  

Requirements

• Degree in Engineering or Information Technology.
  
• Proven experience (minimum 3 years) in data engineering
  
• Proficiency in SQL or Python
  
• Proficiency in QlikSense or Power BI.