Deskripsi Pekerjaan
Are you a visionary Data Engineer ready to shape the future of analytics? Ben Edictio Corp is seeking a talented Cloud Data Engineer to lead the design, development, and maintenance of our next-generation data architecture. In this role, you will play a pivotal part in implementing our modern Data Lakehouse using Microsoft Fabric, enabling our organization to derive actionable insights at scale.
As a key member of our technical team, you will bridge the gap between complex data infrastructure and high-level business intelligence. You will work closely with stakeholders to transform raw data into a reliable, performant, and secure analytical foundation. If you are passionate about cloud-native technologies, Azure ecosystem optimization, and building robust pipelines that empower data-driven decision-making, we invite you to apply.
Tanggung Jawab
- Design, build, and deploy end-to-end data pipelines using Azure Data Factory and Microsoft Fabric.
- Develop and maintain highly scalable Data Lakehouse architectures to support diverse analytical workloads.
- Optimize data storage, processing, and retrieval performance within the Azure cloud environment.
- Collaborate with Data Scientists and Analysts to define data requirements and ensure high-quality data availability.
- Implement robust data governance, security, and quality frameworks across all ingestion points.
- Monitor and troubleshoot data integration flows to ensure 99.9% pipeline uptime and reliability.
- Provide technical leadership and best-practice guidance for adopting Microsoft Fabric across the organization.
Kualifikasi
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- 3+ years of professional experience in data engineering or cloud-based data architecture.
- Deep expertise in Microsoft Azure stack, specifically Azure Data Factory, Databricks, and Synapse Analytics.
- Hands-on experience with Microsoft Fabric and Data Lakehouse patterns.
- Advanced proficiency in SQL, Python, or Spark for complex data transformation.
- Strong understanding of ETL/ELT principles, data modeling, and performance tuning.
- Familiarity with DevOps practices (CI/CD) and Infrastructure as Code (Terraform or Bicep) is a significant advantage.