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

**Job Summary:** Join arenaflex, a leading retail giant, as a Full Stack Data Engineer to design and operationalize data pipelines that drive business insights and decision-making. As a key member of our IT team, you will work closely with data architects, researchers, and business stakeholders to develop and maintain scalable data models and pipelines. If you have a passion for data engineering, cloud-based technologies, and collaboration, we invite you to apply for this exciting opportunity to join our team. **About arenaflex:** arenaflex is a multinational retail corporation that operates over 800 warehouse clubs worldwide. We are committed to providing our members with the best possible shopping experience, and our IT team plays a critical role in supporting this mission. As a Full Stack Data Engineer, you will be part of a dynamic team that is responsible for designing and implementing data pipelines, data warehousing, and business intelligence solutions that drive business growth and profitability. **Job Responsibilities:** As a Full Stack Data Engineer at arenaflex, you will be responsible for: * Designing and operationalizing data pipelines to extract, transform, and load (ETL) data from various sources, including relational databases, NoSQL databases, and cloud-based data lakes * Developing and maintaining scalable data models and pipelines using cloud-based technologies such as Azure Data Lake Storage (ADLS), Azure Databricks, and Informatica PowerCenter * Collaborating with data architects, researchers, and business stakeholders to identify business requirements and design data solutions that meet those needs * Developing and implementing data quality and governance processes to ensure data accuracy and integrity * Working closely with the DevOps team to ensure smooth deployment and monitoring of data pipelines and applications * Providing technical guidance and support to junior team members and other stakeholders * Staying up-to-date with emerging trends and technologies in data engineering and cloud computing **Requirements:** To be successful in this role, you will need: * 3+ years of experience designing and operationalizing data pipelines with large and complex datasets * 3+ years of hands-on experience with Informatica PowerCenter and Informatica IICS * 3+ years of experience working with cloud-based technologies such as ADLS, Azure Databricks, and Databricks Live Table * Broad experience working with different data sources, including SQL, Oracle databases, flat files, web APIs, and XML * High-level SQL skills and strong understanding of data modeling concepts, including data lakes, NoSQL databases, and data warehousing * Ability to work in a high-speed, agile development environment * Flexibility to work on a rotational basis, including weekends, holidays, and after-hours shifts as needed * Bachelor's degree in Computer Science, Engineering, or a related field **Preferred Qualifications:** * Experience executing data integration strategies, including event/message-based integration (Kafka, Azure Event Hub) * Experience with Git and Azure DevOps * Experience conveying data solutions through agile software development processes * Familiarity with the retail industry and its data management challenges * Excellent verbal and written communication skills * Experience working with SAP integration tools, including SAP BW * Experience with UC4 Job Scheduler **What We Offer:** As a Full Stack Data Engineer at arenaflex, you will enjoy a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. We offer a dynamic and collaborative work environment, with a focus on innovation, creativity, and teamwork. If you are passionate about data engineering and cloud-based technologies, and are looking for a challenging and rewarding career opportunity, we invite you to apply for this exciting role. **How to Apply:** To apply for this position, please submit your resume and cover letter to [insert contact information]. We thank all applicants for their interest; however, only those selected for an interview will be contacted. **arenaflex is an equal opportunities employer and welcomes applications from diverse candidates.** Apply for this job