Company
Technology
DataWarehouseDeveloper
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Warehouse Developer. Skills: Data warehousing, Data engineering, ETL/ELT pipelines, Data modelling. Design data warehouse solutions. Develop data warehouse solutions”
Industry & Context.
Analytical thinking; Problem-solving; Troubleshooting
What They're Looking For.
Must Have
Bachelor's Degree or equivalent experience, 5+ years of professional experience, Hands-on experience with Snowflake or Microsoft SQL Server, SQL development skills, Enterprise data modelling experience, Experience developing and maintaining ETL/ELT pipelines, Good understanding of enterprise business processes, Experience translating business requirements into technical data solutions, Analytical, problem-solving, and troubleshooting skills, Excellent communication skills, Ability to work independently
Nice to Have
Experience with SAP ECC or Salesforce, Experience with Python for data processing, Experience with cloud-based data platforms, Experience with modern data engineering concepts, Experience with dbt (Data Build Tools), Experience with Qlik, Experience with Tableau, Experience with data orchestration and scheduling tools, Exposure to modern analytics engineering practices, Exposure to CI/CD processes for data platforms, Experience working in international projects, Experience working in cross-functional projects, Experience in utilizing AI technologies
What You'll Do.
Design data warehouse solutions
Develop data warehouse solutions
Optimize data warehouse solutions
Maintain data warehouse solutions
Design data pipelines
Develop data pipelines
Optimize data pipelines
Maintain data pipelines
Build scalable ELT processes
Build scalable ETL processes
Integrate data from applications
Integrate data from source systems
Support analytics requirements
Support operational reporting
Ensure maintainability
Collaborate with business stakeholders
Collaborate with application teams
Understand business processes
Understand system landscapes
Understand data requirements
Support data architecture decisions
Contribute to data platform design
Contribute to best practices
Analyze data integration issues
Analyze performance issues
Troubleshoot data integration issues
Troubleshoot performance issues
Participate in requirements gathering
Participate in technical design discussions
Participate in testing
Participate in deployment
Participate in operational support
Create technical documentation
Maintain technical documentation
Contribute to continuous improvement
Improve data engineering standards
Improve development processes
Support reporting teams
Support analytics teams
Provide reliable data foundations
Provide well-structured data foundations
How You'll Work.
Team & Collaboration
Collaborate with stakeholders; Collaborate with application teams; Collaborate across teams
Communication Scope
Excellent communication
Full 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
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