Data Warehouse Engineer - Ku De Ta Restaurant

Join Ku De Ta Restaurant, a premier dining destination in Seminyak, Bali, as a Data Warehouse Engineer. In this pivotal role, you will support senior engineers in designing, developing, and maintaining robust data warehouse solutions to drive operational efficiency and strategic decision-making. As a member of our data team, you will work closely with cross-functional teams to ensure data integrity, optimize performance, and deliver actionable insights.

Ku De Ta Restaurant is renowned for its innovative approach to hospitality and culinary excellence. Located in the heart of Seminyak, our restaurant offers a unique dining experience that blends traditional Indonesian flavors with modern techniques. We are committed to leveraging cutting-edge technology to enhance our operations and guest experiences. This role presents an exciting opportunity to contribute to our digital transformation journey and grow within a dynamic and supportive environment.

📋 Tanggung Jawab Pekerjaan

• Design and implement data warehouse solutions using tools like Microsoft SQL Server, Azure Data Factory, and Power BI.
• Develop and maintain ETL processes to ensure data is accurately and efficiently extracted, transformed, and loaded.
• Optimize data warehouse performance by implementing indexing strategies, partitioning, and query tuning.
• Ensure data quality and integrity by implementing validation checks, data profiling, and monitoring.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Document technical designs, processes, and best practices for future reference and knowledge sharing.
• Provide technical guidance and mentorship to junior team members.
• Stay updated with industry trends and emerging technologies to recommend improvements and innovations.

🎓 Kualifikasi & Syarat

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3-5 years of experience in data warehouse development and ETL processes.
• Proven expertise in Microsoft SQL Server, Azure Data Factory, and Power BI.
• Strong understanding of data modeling techniques and database design principles.
• Experience with cloud platforms such as Microsoft Azure is a plus.
• Certifications in data warehouse technologies (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills to work effectively with cross-functional teams.

🛠️ Keahlian

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