Data Engineer
Design & Development:
• Design and implement data ingestion pipelines, data processing workflows, and data storage solutions using GCP services such as Big Query.
• Work with other DEs to integrate data solutions into existing or new applications.
• Develop and manage data integration processes to extract data from various sources, transform and cleanse it, and load it into appropriate data storage systems.
• Implement robust ETL processes to ensure data quality and consistency especially in large Datawarehouse setup.
Data Modelling and Optimization:
• Design and implement data models and schemas that meet business requirements and support efficient data retrieval and analysis.
• Optimize data structures and queries for performance and scalability.
Monitoring and Maintenance:
• Monitor data pipelines and processes for data quality issues.
• Troubleshoot and resolve data-related problems in a timely manner.
• Perform regular data backups and implement disaster recovery procedures.
Collaboration and Documentation:
• Collaborate with cross-functional teams to understand data requirements and provide technical guidance and support.
• Document data infrastructure, processes, and workflows to ensure knowledge sharing and maintainability.
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