Company

Technology

DataWarehouseDeveloper

$120–175k ~AI est. United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Warehouse Developer. Skills: Data warehousing, Data engineering, ETL/ELT pipelines, Data modelling. Design data warehouse solutions. Develop data warehouse solutions”

Industry & Context.

Technology
Problems you'll solve

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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