Data Engineer

Position : Microsoft PowerBI Report Builder

• Location : Hongkong onsite

• Keywords :  PowerBI

Data Operations & L2 Support

·         Handle L2 support for data-related production issues, including troubleshooting, diagnosis, and resolution of data pipeline, interface, and ETL/ELT process failures.

·         Monitor data pipelines, interfaces, ETL/ELT processes, data quality metrics, and platform performance on a daily basis.

·         Participate in incident management lifecycle, including escalation handling, root cause analysis (RCA), and preventive action documentation.

·         Ensure compliance with SLA, KPI, and operational governance requirements for L2 support tickets.

·         Coordinate with L3 support and vendor teams for complex issue resolution when escalation is required.

·         Maintain and update runbooks, support procedures, and knowledge base articles for recurring data issues.

Stakeholder Management & Communication

·         Collaborate with Data Custodians, Business Users, Application Support Teams, and Vendors to troubleshoot and resolve data issues.

·         Provide timely status updates to stakeholders on incident resolution progress.

·         Facilitate incident review discussions and service review meetings as required.

·         Liaise with business users to understand data issue impacts and prioritize remediation activities.

Data Migration & Project Support

·         Support data migration projects involving data extraction, transformation, validation, and reconciliation activities.

·         Assist in developing migration strategies, implementation plans, and testing approaches under senior guidance.

·         Oversee data validation and reconciliation activities to ensure data integrity during migrations.

Data Governance & Quality Management

·         Assist with data governance initiatives and ensure adherence to enterprise data standards.

·         Work with data owners and custodians to improve data quality, lineage, and stewardship processes.

·         Implement monitoring mechanisms to identify and prevent recurring data issues.

·         Maintain operational documentation, runbooks, and support procedures.

·         Identify recurring issues and propose automation opportunities to reduce manual effort.