Deskripsi Pekerjaan
Are you a seasoned Data Engineer looking to take the next step in your career with a forward-thinking organization? Trust Recruit is seeking a highly skilled Senior Data & AI Engineer to join our dynamic team in Paya Lebar. In this role, you will play a pivotal part in architecting, developing, and maintaining robust data pipelines and AI-driven solutions within the Microsoft Azure ecosystem.
You will thrive in a hybrid working environment that promotes work-life balance while offering an attractive remuneration package. We are looking for an expert who is passionate about MS Fabric and Azure Data Platform, someone who can transform complex datasets into actionable business intelligence. If you are ready to lead data integration efforts and drive innovation in a collaborative team, we want to hear from you.
Tanggung Jawab
- Design and architect scalable data integration solutions using MS Fabric and the Azure Data Platform.
- Build, manage, and optimize end-to-end data pipelines for structured and unstructured data.
- Collaborate with cross-functional teams to integrate AI/ML models into production data workflows.
- Ensure data quality, governance, and security across all enterprise data systems.
- Lead the migration and modernization of on-premise data environments to Azure cloud services.
- Provide technical leadership and mentorship to junior team members on data engineering best practices.
- Monitor and troubleshoot performance issues to ensure high availability of data services.
Kualifikasi
- Bachelor’s degree in Computer Science, Data Engineering, or a related technical field.
- Minimum 3-5 years of hands-on experience in data engineering or cloud-based data architecture.
- Deep expertise in Microsoft Azure Data Platform (Azure Data Factory, Synapse Analytics, Databricks).
- Strong proficiency with Microsoft Fabric and Power BI integration.
- Advanced SQL programming and data modeling skills.
- Experience with Python, Spark, or C# for data pipeline orchestration.
- Solid understanding of CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).
- Relevant Azure Data Engineer certifications are highly desirable.