Experienced Full Stack Data Engineer – Data Ventures and Information Specialist for Innovative Retail Solutions at arenaflex

Introduction to arenaflex and the Industry Imagine working in an environment where data-driven insights can make life easier for millions of people. At arenaflex, we're part of a global retail revolution, leveraging technology to shape the future of shopping. As a leader in the retail industry, arenaflex is committed to helping people save money so they can live better. Our mission serves as the foundation for every decision we make, from responsible purchasing to sustainability. As an arenaflex team member, you will play a vital role in shaping the future of retail, tech, marketing, finance, and many other industries – all while impacting the lives of millions of customers worldwide. Job Overview We're seeking an experienced Data Engineer to join our Data Ventures team, where you'll have the opportunity to work with massive datasets, design information pipelines, and contribute to the development of reusable technologies. As a Data Engineer at arenaflex, you will be responsible for adding to a coordination layer of complex data transformations, refining raw data from sources into designated, meaningful data assets for use in a represented manner. You will collaborate with Data Scientists, Investigators, other engineers, and business partners to solve complex and exciting challenges, enabling us to develop capabilities that evolve the retail business model while having a positive impact on our customers' lives. Key Responsibilities Data Transformation and Integration: Concentrates data from identified databases, creates data pipelines, and transforms data into a structure relevant to the problem by selecting appropriate methodologies. Data Source Identification: Supports the understanding of the need order of requirements and service-level agreements, identifies the most suitable source for data that is good for purpose, and performs initial data quality checks on extracted data. Data Modeling: Investigates complex data elements, systems, data streams, conditions, and relationships to contribute to conceptual, physical, and logical data models, fostering the Logical Data Model and Physical Data Models, including data warehouse and data store designs. Code Development and Testing: Writes code to develop the necessary solution and application features by determining the appropriate programming language and utilizing business, technical, and data requirements, makes experiments to review and validate the proposed solution design, and tests the code using the appropriate testing approach. Applied Business Acumen: Provides recommendations to business partners to address complex business issues, creates business cases for projects with an expected return on investment or cost savings, and translates business requirements into tasks, activities, and tasks, aligning with the overall business process. Data Governance: Outlines, aligns, and reports data governance operations and recommendations, implements data governance practices in collaboration with business partners and peers, interprets organizational and regulatory policies on data, and educates others on data governance processes, practices, policies, and rules. Essential Qualifications To be successful in this role, you should have: A Bachelor's degree in Computer Science or a related field, with at least 2 years of experience in programming or a related field. Experience with Hadoop, Spark, Cloud, Python/PySpark, and Java, as well as streaming technologies like Kafka. Knowledge of data modeling and data migration protocols, with experience in building highly scalable Big Data solutions and ETL ecosystems. Familiarity with cloud computing platforms, such as GCP, and experience with data warehousing, BI, and integration tools like Automic and Windstream. Preferred Qualifications While not required, the following qualifications are preferred: Experience with DataBricks, NoSQL databases like Cosmos DB, and RDBMS like MySQL and Postgres. Hands-on experience with messaging platforms like Kafka and experience building highly scalable Large Data solutions and ETL ecosystems. A graduate degree in Computer Science or a related field, with 2 years of experience in programming or a related field. Career Growth Opportunities and Learning Benefits At arenaflex, we're committed to helping our team members grow and develop their skills. As a Data Engineer, you'll have access to training and development programs, as well as opportunities to work on complex and challenging projects. You'll be part of a dynamic team that values innovation, creativity, and collaboration, and you'll have the chance to make a real impact on the future of retail. Work Environment and Company Culture Our work environment is fast-paced and dynamic, with a focus on collaboration and innovation. We believe in fostering a culture of inclusivity, respect, and empathy, where everyone feels valued and supported. We're committed to diversity, equity, and inclusion, and we strive to create a workplace where everyone can thrive. Compensation, Perks, and Benefits We offer a competitive salary and benefits package, including performance-based bonuses, 401(k) matching, stock purchase plans, paid maternity and parental leave, PTO, and a range of health plans. We also provide opportunities for professional development and growth, as well as a dynamic and supportive work environment. Conclusion If you're a motivated and experienced Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity at arenaflex. As a member of our team, you'll have the chance to work on complex and innovative projects, develop your skills and expertise, and make a real impact on the future of retail. Don't miss out on this opportunity to join a dynamic and forward-thinking company – apply today! Apply for this job