Data Warehouse Developer

Job description

Welcome! Our Growth is Creating Great Opportunities! Our team is expanding, and we want to hire the most talented people we can. Continued success depends on it! Once you've had a chance to explore our current open positions, apply to the ones you feel suit you best and keep track of both your progress in the selection process, and new postings that might interest you! Thanks for your interest in working on our team! Data Warehouse Developer / Data Engineer We are looking for an experienced Data Warehouse Developer / Data Engineer to design, develop, and maintain scalable enterprise data solutions with a strong focus on data integration, transformation pipelines, and data modelling. This role is primarily focused on building robust and maintainable data warehouse architectures and ELT/ETL processes. The ideal candidate combines strong technical expertise in modern data platforms with the ability to understand business processes and collaborate closely with stakeholders across the organization. You should be a self-driven and detail-oriented professional with strong analytical thinking, excellent communication skills, and the ability to translate business requirements into scalable technical solutions. 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