Data Warehouse Developer

Duties And Responsibilities

• Design, develop, optimize, and maintain enterprise-grade data warehouse solutions and data pipelines
• Build scalable ELT/ETL processes for integrating data from various enterprise applications and source systems
• Develop and maintain dimensional and relational data models to support analytics and operational reporting requirements
• Ensure high standards for data quality, performance, maintainability, scalability, and reliability
• Collaborate with business stakeholders and application teams to understand business processes, system landscapes, and data requirements
• Support data architecture decisions and contribute to overall data platform design and best practices
• Analyze and troubleshoot data integration and performance issues across the data platform
• Participate in requirements gathering, technical design discussions, testing, deployment, and operational support activities
• Create and maintain technical documentation related to data models, interfaces, and transformation logic
• Contribute to continuous improvement initiatives around data engineering standards, automation, and development processes
• Support reporting and analytics teams by providing reliable and well-structured data foundations

Basic Qualifications

• Bachelor's Degree or equivalent experience required
• 5+ years of professional experience in Data Warehouse Development, Data Engineering, or related fields
• Strong hands-on experience with either: Snowflake, or Microsoft SQL Server-based Data Warehouse environments
• Strong SQL development skills and experience optimizing complex queries and transformations
• Solid experience in enterprise data modelling (dimensional and/or relational modelling)
• Experience developing and maintaining ETL/ELT pipelines and integrating data from multiple business applications
• Good understanding of enterprise business processes and the ability to work in a consulting-oriented environment with business stakeholders
• Experience translating business requirements into technical data solutions
• Strong analytical, problem-solving, and troubleshooting skills
• Excellent communication skills and ability to collaborate across technical and non-technical teams
• Ability to work independently and manage multiple priorities in a dynamic environment

Preferred Qualifications

• Experience with SAP ECC or Salesforce
• Experience with Python for data processing
• Experience with cloud-based data platforms and modern data engineering concepts
• Experience with dbt (Data Build Tools)
• Experience with front-end analytics and visualization tools such as: Qlik, Tableau
• Experience with data orchestration and scheduling tools
• Exposure to modern analytics engineering practices and CI/CD processes for data platforms
• Experience working in international or cross-functional project environments
• Experience in utilizing AI technologies in displaying business data results