Bukit Merah - Data Engineer
Bukit Merah Temporary
We are seeking a hands-on Fabric Onsite Data Engineer to support our data modernization initiatives by leveraging Microsoft Fabric. This role is critical in transitioning legacy ADF pipelines to Fabric Pipelines and Dataflows Gen2 while ensuring high data quality, robust metadata management, and effective collaboration with business and technical stakeholders.
Key Responsibilities:
- Rebuild and optimize existing Azure Data Factory (ADF) ingestion processes using Microsoft Fabric Pipelines and Dataflows Gen2.
- Coordinate with SL10/EQS source system owners to align data schemas, field mappings, and ingestion specifications.
- Perform onsite data validation and integrity checks across ingestion workflows to ensure accuracy and completeness.
- Capture and log file-level and field-level metadata (e.g., file name, source system, ingestion timestamp) to enhance traceability and auditability.
- Support User Acceptance Testing (UAT), triage user-reported issues, and provide technical support to business users during validation phases.
- Train and guide end users on accessing and using Power BI reports, data glossary resources, and Baobao Q&A tools for self-service analytics.
- Proactively respond to data queries from business users, ensuring data understanding and alignment with operational needs.
Qualifications:
- Diploma or Degree in Information Technology, Computer Science, or related field.
- Proven experience with Microsoft Fabric, including Pipelines and Dataflows Gen2.
- Strong knowledge of Azure Data Factory, data ingestion strategies, and ETL/ELT best practices.
- Familiarity with data modeling, schema design, and metadata logging.
- Experience working with business users and system owners to align technical data structures with business requirements.
- Solid understanding of data quality assurance, validation techniques, and troubleshooting in production environments.
- Excellent communication skills to support user training and documentation.
- Ability to work onsite and collaborate across cross-functional teams in a dynamic environment.
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