Deskripsi Pekerjaan
We are seeking a highly skilled Senior Data & AI Engineer to join our innovative team. In this pivotal role, you will leverage the power of Microsoft Fabric to design and implement next-generation data architectures. You will be at the forefront of integrating Artificial Intelligence with robust data engineering practices, utilizing AWS and Visual Basic (VB) to streamline operations and drive business intelligence.
As a key member of our technical team, you will transform complex datasets into actionable insights, ensuring data integrity and optimizing performance across our cloud infrastructure. This is an exciting opportunity for a visionary engineer to make a significant impact in a fast-paced environment, working on cutting-edge solutions that power our organization's growth.
Tanggung Jawab
- Architect and implement scalable data solutions using Microsoft Fabric, including Lakehouse, Warehouse, and Synapse environments.
- Design and maintain robust ETL/ELT pipelines to ensure seamless data flow and high availability.
- Develop and deploy Machine Learning models and AI-driven applications to solve complex business challenges.
- Utilize AWS services (EC2, S3, Lambda) to build and manage cloud-based data infrastructure.
- Automate workflows and data processes using Python and Visual Basic (VB).
- Collaborate with cross-functional stakeholders to define data requirements and analytical roadmaps.
- Monitor system performance, troubleshoot technical issues, and enforce data governance and security policies.
- Conduct code reviews and mentor junior engineers to maintain high technical standards.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
- 5+ years of professional experience in Data Engineering, AI, or Machine Learning.
- Strong expertise in Microsoft Fabric, Azure Synapse Analytics, and Power BI.
- Proficiency in Python, SQL, and experience with Visual Basic (VB) for legacy system integration.
- Familiarity with AWS ecosystem and cloud-native data services.
- Deep understanding of data modeling, warehousing, and big data processing.
- Excellent problem-solving skills and the ability to thrive in a collaborative Agile environment.