Job Summary
Design and deliver scalable data pipelines, integrations, and platforms across cloud and hybrid environments. This role supports enterprise analytics and AI initiatives by developing reliable data solutions, maintaining data quality and performance, and enabling Power BI reporting and semantic models. You will work with technical teams and business stakeholders to translate analytics needs into effective data solutions.
Responsibilities
- Build, enhance, and optimize data pipelines, integrations, and data platforms for enterprise use.
- Develop data integration, ETL/ELT, and data warehousing solutions across cloud and hybrid environments.
- Promote data quality, reliability, and performance to support analytics and AI workloads.
- Enable Power BI reporting and semantic models through well-structured, accessible data.
- Partner with technical teams and business stakeholders to understand requirements and deliver analytics solutions.
Qualifications
- Bachelor’s degree in a relevant technical field.
- At least three years of experience designing enterprise data, analytics, or business intelligence solutions.
- Hands-on experience with data integration, ETL/ELT, and data warehousing development using Python and PySpark.
- Experience working with Azure data services, Microsoft Fabric, or comparable data platforms.
A.C. Coy provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
