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Posted May 21, 2026

**Experienced Full Stack Data Engineer – Cloud-Based Information Analytics and Data Pipelines Development at arenaflex**

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Are you a highly skilled and motivated data engineer looking to join a dynamic and innovative team at arenaflex? Do you have a passion for designing and operationalizing data pipelines to drive business insights and decision-making? If so, we encourage you to apply for the Experienced Full Stack Data Engineer position at arenaflex. **About arenaflex** arenaflex is a leading global retailer with a strong commitment to innovation, customer satisfaction, and employee development. As one of the world's largest and most successful companies, arenaflex offers a unique and exciting work environment that fosters collaboration, creativity, and growth. Our company culture is built on a foundation of respect, integrity, and teamwork, and we are proud to be recognized as one of the "World's Best Bosses" by Forbes. **Job Summary** The Experienced Full Stack Data Engineer will play a critical role in designing and operationalizing data pipelines to drive business insights and decision-making at arenaflex. This position will be responsible for creating and operationalizing data pipelines to make data accessible for utilization (BI, Advanced Analytics, Services), working with data modelers and data/BI architects to plan data pipelines and suggest continuous improvement of data storage, data ingestion, data quality, and architecture. The successful candidate will have a strong background in data engineering, cloud-based technologies, and data analytics, with experience working with large and complex datasets. **Key Responsibilities** * Creates and operationalizes data pipelines to make data accessible for utilization (BI, Advanced Analytics, Services) * Works with data modelers and data/BI architects to plan data pipelines and suggests continuous improvement of data storage, data ingestion, data quality, and architecture * Plans, creates, and carries out ETL/ELT processes using IICS (Informatica Cloud) * Utilizes Purple services like Purple SQL DW (Neural Connection), ADLS, Purple Event Center, and Purple Data Factory to improve and accelerate delivery of our data products and services * Carries out large data and NoSQL solutions by creating adaptable data handling stages to drive high-value insights to the organization * Identifies, plans, and carries out internal process improvements: automating manual processes, and enhancing data delivery * Identifies ways to improve data reliability, efficiency, and quality of data management * Conveys technical ideas to non-technical audiences both written and verbal * Performs peer reviews for other data architect's work **Essential Qualifications** * 2+ years' experience designing and operationalizing data pipelines with large and complex datasets * 2+ years' hands-on experience with Informatica PowerCenter * 2+ years' hands-on experience with Informatica IICS * 2+ years' experience working with cloud-based technologies; like ADLS, Purple Databricks, Flash, Purple Neurotransmitter, Universe DB, and other large data advances * 2+ years' experience in Data Modeling, ETL, and Data Warehousing * 2+ years' hands-on experience carrying out data integration procedures like event/message-based integration (Kafka, Purple Event Center), ETL **Preferred Qualifications** * Microsoft Purple/comparable certifications * Experience conveying data solutions through deft programming development approaches * Openness to the retail business * Amazing verbal and written communication skills * Experience working with SAP integration tools including Bodies * Experience with UC4 Job Scheduler **Skills and Competencies** * Strong understanding of database management concepts; Data Lake, Social Databases, NoSQL, Schema, Data Warehousing * Ability to work in a fast-paced agile development environment * Strong analytical and problem-solving skills * Excellent communication and collaboration skills * Ability to convey technical ideas to non-technical audiences * Strong understanding of data engineering principles and practices * Experience with cloud-based data platforms and services * Strong understanding of data integration and ETL processes **Career Growth Opportunities and Learning Benefits** arenaflex is committed to providing a dynamic and supportive work environment that fosters growth and development. As a data engineer at arenaflex, you will have access to a range of learning and development opportunities, including: * Regular training and development programs to enhance your skills and knowledge * Opportunities to work on high-visibility projects and contribute to the company's success * Collaborative and supportive team environment that encourages innovation and creativity * Recognition and rewards for outstanding performance and contributions * Opportunities for career advancement and professional growth **Work Environment and Company Culture** arenaflex is a dynamic and innovative company that offers a unique and exciting work environment. Our company culture is built on a foundation of respect, integrity, and teamwork, and we are proud to be recognized as one of the "World's Best Bosses" by Forbes. As a data engineer at arenaflex, you will have the opportunity to work with a talented and diverse team of professionals who are passionate about innovation and customer satisfaction. **Compensation, Perks, and Benefits** arenaflex offers a competitive compensation package that includes: * Competitive salary and bonus structure * Comprehensive benefits package, including medical, dental, and vision insurance * 401(k) retirement plan with company match * Paid time off and holidays * Opportunities for professional development and growth * Recognition and rewards for outstanding performance and contributions **How to Apply** If you are a highly skilled and motivated data engineer looking to join a dynamic and innovative team at arenaflex, we encourage you to apply for the Experienced Full Stack Data Engineer position. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply Job! Apply for this job