Data Engineer (Microsoft Fabric & API Integration)
We are looking for an experienced Data Engineer to build and support enterprise data platforms using Microsoft Fabric. This role will focus on developing scalable data pipelines, integrating multiple business systems, and delivering reliable data solutions that support reporting, analytics, and business operations.
The ideal candidate should have hands-on experience with cloud data platforms, ETL/ELT development, API integrations, and enterprise data architecture.
Key ResponsibilitiesData Engineering & Integration
- Develop and maintain scalable data pipelines using Microsoft Fabric.
- Build data ingestion processes from ERP, CRM, databases, cloud applications, and external platforms.
- Design and implement ETL/ELT solutions using Fabric Data Factory, Dataflows, Notebooks, and Lakehouse.
- Develop efficient data models to support reporting, dashboards, and analytics.
- Ensure data accuracy through validation, reconciliation, and quality controls.
- Develop integrations using RESTful APIs, SOAP services, and enterprise interfaces.
- Automate data extraction and synchronization between internal and external systems.
- Configure authentication methods such as OAuth2, JWT, and API Keys.
- Troubleshoot and optimize API connectivity and performance.
- Ensure secure and reliable data exchange in line with enterprise security standards.
- Support enterprise data architecture and integration initiatives.
- Implement metadata management, data lineage, and governance practices.
- Design scalable data storage solutions using Lakehouse and Data Warehouse technologies.
- Contribute to master data management and enterprise data standards.
- Monitor and optimize data pipelines for performance and reliability.
- Implement logging, monitoring, and alerting mechanisms.
- Investigate production issues, perform root cause analysis, and implement long-term solutions.
- Prepare technical documentation and provide knowledge transfer to support teams.
- Work closely with business users, data architects, business analysts, and application teams.
- Participate in Agile development activities, sprint planning, and design discussions.
- Gather technical requirements and recommend appropriate data integration solutions.
- Degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
- At least 3 to 5 years of experience in Data Engineering or Data Integration.
- Strong hands-on experience with Microsoft Fabric, including Data Factory, Dataflows, Notebooks, Lakehouse, and Data Warehouse.
- Experience building ETL/ELT pipelines and enterprise data integration solutions.
- Good knowledge of SQL and data modelling principles.
- Experience integrating systems through RESTful APIs, SOAP services, and enterprise interfaces.
- Familiarity with authentication methods such as OAuth2, JWT, and API Keys.
- Understanding of data governance, metadata management, and data lineage concepts.
- Experience with Agile delivery methodologies.
- Strong analytical, troubleshooting, and communication skills.
Please send your detailed resume in MS Word format to ***email_hidden*** with
- Education Level
- Working experiences
- Each employment background
- Reason for leaving each employment
- Last drawn salary
- Expected salary
- Date of availability
Company profile
Goldtech Resources
At Goldtech Resources, we pride ourselves as A People & Technology Services Provider
We are specialized in Recruitment and IT services. We deliver the right talent with our innovative IT workforce solutions to all our valuable customers.
We represent clients from a wide sector of industries both local and multi-national corporations. Our dedicated consultants offer excellent, comprehensive, fast and efficient service to our valued clients.
We hear, we listen, we understand and we deliver high quality staff to meet your needs. We believe in this strong and collaborative partnership is the key to every success.
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