Data Warehouse Developer

Adtran•Huntsville, AL

About The Position

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.

Requirements

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

Nice To Haves

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

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