Data Engineer

Responsibilities:

• Design, and deliver specifications, documentation and implementation of unified data repositories and the data flows of diverse data types from multiple sources.
• Develop and maintain ETL processes and data pipelines to efficiently extract data from various sources, transform and clean it, and load it into the unified data repository.
  in web development, cloud platforms and data schema design.
• Design and optimize database structures, tables, and schemas to ensure efficient storage, retrieval, and querying of data.
• Implement data quality and data governance processes to ensure the accuracy, integrity, and security of the data repository.
• Work closely with the development team to integrate the unified data repository with the reporting portal, ensuring seamless data access and enabling interactive data visualization and reporting capabilities.
• Collaborate with cross-functional teams to understand and document data requirements and translate them into technical solutions.
• Monitor data integration processes, troubleshoot issues, and perform data validation and reconciliation to ensure data accuracy and consistency.
• Work closely with clients to understand their business needs and design solutions that meet those needs.
• Troubleshoot technical issues and work with the development team to deliver solutions.
• Provide technical guidance and mentorship to junior team members.
• Stay up-to-date with emerging trends and technologies.

Key Skills:

• Data warehousing. 
• Knowledge of operating systems. 
• Database systems. 
• Data analysis. 
• Critical thinking skills. 
• Basic understanding of machine learning. 
• Communication skills.

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