The Data Engineer will design and maintain ETL processes, manage data mapping documentation, collaborate with stakeholders, ensure data quality, optimize workflows, and troubleshoot any issues. Staying current with data engineering practices is essential.
- Design, implement, and maintain ETL processes to extract data from multiple sources, transform it based on business rules, and load it into target systems.
- Develop and manage data mapping documentation, including source-to-target mappings and transformation logic.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and optimize data flows.
- Conduct data quality checks and validation to ensure the accuracy and integrity of data.
- Optimize ETL workflows for performance, scalability, and reliability.
- Monitor and troubleshoot ETL processes, resolving issues promptly to minimize downtime.
- Stay up-to-date with industry best practices and emerging technologies in data engineering and ETL.
- Proven experience as a Data Engineer, with a strong focus on data mapping and ETL processes.
- Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
- Familiarity with data warehousing concepts and architecture.
Top Skills
SQL
Unison Consulting Singapore Office
1 Changi Business Park Crescent, , Plaza 8 #03-06 Tower A, Singapore, , Singapore, 486025
Unison Consulting Singapore Office
#12-00, 63 Market Street, Bank of Singapore Center, Singapore, , Singapore, 048942
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