| We are seeking an experienced Data Integration Developer to join a growing team focused on building and supporting enterprise data solutions across a large multi-location business environment. This role will partner closely with product, business, and engineering teams to design, develop, and maintain scalable data integration solutions that support critical business operations. Key Responsibilities - Design, develop, and support enterprise ETL/ELT processes and data integration solutions.
- Collaborate with cross-functional teams to deliver reliable and scalable data pipelines.
- Participate in modern data transformation initiatives, including the adoption of AI-driven development practices and automation.
- Follow established software development and security standards throughout the development lifecycle.
- Monitor application performance, troubleshoot production issues, and coordinate resolution efforts when needed.
- Work closely with business stakeholders to understand requirements and translate them into technical solutions.
- Contribute to continuous improvement efforts related to processes, architecture, and operational support.
- Participate in an on-call rotation supporting critical integration processes and data workflows.
- Mentor and collaborate with team members across multiple locations and time zones.
Required Qualifications - 10+ years of hands-on experience in database and data integration development.
- Strong experience with ETL/ELT technologies, including Microsoft SSIS and Azure Data Factory (ADF).
- Advanced SQL development skills and experience working with relational database systems.
- Experience leveraging AI tools or technologies to improve development efficiency, productivity, and quality.
- Strong problem-solving, communication, and collaboration skills.
Preferred Experience - Experience working in large-scale retail, consumer products, distribution, or similar industries.
- Knowledge of Agile development methodologies, SDLC processes, and DevOps practices.
- Experience integrating data across multiple database platforms such as Snowflake, Oracle, SQL Server, DB2, or similar technologies.
- Familiarity with API and messaging-based integrations, including REST, SOAP, and publish/subscribe architectures.
- Experience supporting cloud-based and hybrid data environments.
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