DWH/Cloud Engineer

The DWH/Cloud Engineer will play a pivotal role in designing, implementing, and maintaining data warehouse and cloud solutions to support the organization's technology needs. This position requires expertise in cloud platforms, data engineering, and the ability to deliver reliable and scalable solutions.

Client Details

The employer is a large organization in the technology and telecoms sector, known for its focus on innovation and cutting-edge solutions. With a strong global presence, the company is committed to delivering high-quality services and fostering a culture of technical excellence.

Description

• Design and implement data warehouse solutions to support business analytics.
• Develop and maintain scalable cloud-based infrastructures for data storage and processing.
• Collaborate with cross-functional teams to gather and address data-related requirements.
• Optimize system performance and ensure the reliability of cloud and data warehouse solutions.
• Create and manage ETL pipelines to facilitate efficient data integration.
• Implement data security measures and ensure compliance with relevant standards.
• Provide technical support and troubleshoot issues related to cloud and data warehouse systems.
• Stay updated on emerging trends in cloud and data technologies to recommend improvements.

Job Offer

• Competitive salary ranging from 7200000 JPY to 8800000 JPY annually.
• Comprehensive benefits package and standard perks.
• Opportunities to work with state-of-the-art technology in the technology and telecoms industry.
• A collaborative and innovative work environment in Tokyo.
• Career development and learning opportunities to enhance your skills.

If you are passionate about technology and eager to advance your career in Tokyo, this role is perfect for you. Apply now to join an industry leader!

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Victor Alesse.

A successful DWH/Cloud Engineer should have:

• A strong educational background in computer science, information technology, or a related field.
• Proven expertise in data warehouse design and cloud platforms such as AWS, Azure, or GCP.
• Proficiency in SQL, Python, or other programming languages used for data engineering.
• Experience with ETL tools and data integration processes.
• Knowledge of data security best practices and regulatory compliance.
• An analytical mindset with attention to detail and problem-solving skills.