Data Warehouse Architect

Wilhelmsen Ship Management

  • Kuala Lumpur
  • Permanent
  • Full-time
  • 1 month ago
Join our global team for a career filled with opportunities to solve challenges both small and large, local and global, simple and complex. Wilhelmsen Ship Management is one of the world's largest providers of third-party ship management services with a presence in over 15 countries. We have established a pool of over 11,000 seafarers supporting more than 450 vessels. We have a vision to be the shaper of the ship management industry. Our employees work with a comprehensive global maritime group providing over half of the merchant fleet with essential products and services, along with supplying crew and technical management to the largest and complex vessels ever to sail. You are responsible for designs, develops, and maintenance of data warehouse solutions using Snowflake and BigEval cloud platforms . You are responsible for migrating data from on-premise or other cloud sources to Snowflake and BigEval, optimizing data pipelines and queries, ensuring data quality and security, and providing insights and recommendations to the business. Main Responsibilities Analyze the business requirements and data sources to design and implement data warehouse solutions using Snowflake and BigEval Develop and maintain ETL processes, data models, schemas, views, and stored procedures using tools such as Wherescape and Bigeval Perform data cleansing, validation, and transformation to ensure data accuracy and consistency Optimize data warehouse performance, scalability, and cost-efficiency using best practices and techniques such as clustering, partitioning, caching, and compression Implement data security and governance policies and standards using features such as encryption, masking, roles, and permissions Monitor and troubleshoot data warehouse issues and incidents using tools such as Snowflake UI, Wherescape or BigEval Provide data analysis and reporting using tools such as Tableau Collaborate with data engineers, analysts, and stakeholders to deliver data-driven solutions and insights Qualifications Bachelor's degree or higher in computer science, engineering, mathematics, or related field Proficient in SQL and scripting languages such as Python, Bash, or JavaScript Experience with ETL tools, data modeling tools, and BI tools Certification in Snowflake or BigEval is a plus Excellent communication, problem-solving, and analytical skills Excellent written and spoken English skills and ability to understand & convey complex IT and business scenarios. Proven ability to analyse problems, identify critical issues and develop strategies. Strong communication, engagement and team leadership skills. Strong people skills with awareness of different cultures. #WSM

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