**Experienced Full Stack Data Engineer – Web & Cloud Application Development**

**Join arenaflex, a world-renowned retail giant, in shaping the future of data analytics and driving business growth.** **About arenaflex** arenaflex is a privately-held retail company that has revolutionized the industry with its innovative approach to discount retailing. As the third-largest retailer globally, with operations in 14 countries, arenaflex continues to thrive despite its massive size and rapid global expansion. Our commitment to creating a family-oriented work environment has earned us a spot among the "World's Best Bosses" in Forbes' prestigious list. At arenaflex, we pride ourselves on being a leader in the retail industry, and we're looking for talented individuals to join our team. **Job Summary** We're seeking an experienced Full Stack Data Engineer to join our Data Analytics team at arenaflex. As a key member of our team, you will be responsible for designing and operationalizing data pipelines to make data accessible for business intelligence, advanced analytics, and services. You will work closely with data architects, data researchers, and BI architects to plan and maintain flexible data models and pipelines. If you have a passion for data engineering and a desire to work with a world-class team, we encourage you to apply. **Key Responsibilities** * Design and operationalize data pipelines to make data accessible for business intelligence, advanced analytics, and services * Collaborate with data architects, data researchers, and BI architects to plan and maintain flexible data models and pipelines * Gather and process large, complex datasets to meet business requirements * Work with data engineers to adjust on data engineering needs * Develop and maintain ideal data pipeline design * Identify, plan, and implement internal cycle improvements: automating manual processes, streamlining data delivery * Perform large data and NoSQL solutions by creating flexible data handling stages to drive high-value insights to the organization * Support the advancement of Data Dictionaries and Data Science categorization for product solutions * Demonstrate a strong understanding of coding and programming concepts to build data pipelines (e.g., data transformation, data quality, data integration, etc.) * Assemble data models with Data Modeler and create data pipelines to store data in defined data models and designs * Demonstrate a strong understanding of data integration methods and tools (e.g., Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT)) and database design * Recognize ways to improve data reliability, efficiency, and quality of data management * Lead ad-hoc data recovery for business reports and dashboards * Review the integrity of data from various sources * Manage database design including introducing and updating software, and maintaining significant documentation * Monitor database movement and resource utilization * Perform peer review for another Data Engineer's work * Create and operationalize data pipelines to make data accessible for utilization (BI, Advanced analysis, Services) * Work with data designers and data/BI architects to plan data pipelines and suggest continuous streamlining of data storage, data ingestion, data quality, and organization **Requirements** * 3+ years of experience designing and operationalizing data pipelines with large and complex datasets * 3+ years of hands-on experience with Informatica PowerCenter * 3+ years of experience in Data Modeling, ETL, and Data Warehousing * 3+ years of hands-on experience with Informatica IICS * 3+ years of experience working with Cloud technologies, such as ADLS, Azure Data Factory, Azure Databricks, Databricks Live Table, Azure Synapse Analytics, and other big data innovations * Broad experience working with various data sources (SQL, Oracle database, flat files (csv, delimited), Web API, XML) * High-level SQL skills. Strong understanding of social databases and business intelligence; ability to write complex SQL queries against various data sources * Strong understanding of database management concepts (data lake, social databases, NoSQL, Data Warehouse, etc.) * Ability to work in a high-speed agile development environment * Scheduling flexibility to address business needs including weekends, holidays, and on-call responsibilities on a rotational basis **Preferred Qualifications** * BA/BS in Computer Science, Engineering, or equivalent programming/services experience * Azure Certifications * Experience executing data integration strategies, such as event/message-based integration (Kafka, Azure Event Center), ETL * Experience with Git/Azure DevOps * Experience delivering data solutions through agile software development processes * Familiarity with the retail industry * Excellent verbal and written communication skills * Experience working with SAP integration tools, including Bodies * Experience with UC4 Job Scheduler **What We Offer** * Competitive salary: $26/hour * Comprehensive benefits package * Opportunities for career growth and professional development * Collaborative and dynamic work environment * Flexible scheduling to accommodate business needs * Recognition and rewards for outstanding performance **How to Apply** If you're a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. Apply for this job