Cloud Engineer

Job Requirements

• Experience in Data Analytics and Data Engineering with strong understanding of SOA, API-centric development, and Master Data concepts.
• Strong expertise in Python and SQL, including advanced SQL development, query optimization, and data processing.
• Minimum 2 years of hands-on experience with Data Vault and Kimball data modelling methodologies.
• Strong understanding of Data Warehousing concepts, data modelling, reporting, and data visualization.
• Hands-on experience with Power BI, Tableau, or similar business intelligence and visualization tools.
• Experience with BigQuery and Google Cloud Platform (GCP); exposure to other cloud platforms is an advantage.
• Proficiency with Git, Bitbucket, GitLab, or similar version-control and source management platforms.
• Understanding of project workflows, reporting dimensions, planning, and progress tracking, with experience using Jira reports for project visibility.
• Strong analytical, creative, pragmatic, and problem-solving mindset with ability to work as a specialist while maintaining a broader business perspective.
• Excellent English communication and stakeholder management skills, with ability to collaborate confidently across international and cross-functional teams.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.