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 making a positive impact on people's lives. Our mission is to help people save money so they can live better, and this mission drives 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 making a difference in the lives of millions of customers worldwide. Job Overview We're seeking an experienced Data Engineer to join our Data Ventures team. As a Data Engineer at arenaflex, you will dive into our vast amounts of data to help unleash the power of retail data science. You will be responsible for designing, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on. You will collaborate with cross-functional teams, including Data Researchers, Investigators, and other engineers, to solve complex and exciting challenges that will help us evolve the retail business model while having a positive impact on our customers' lives. Key Responsibilities Data Transformation and Integration: Concentrate data from identified databases, create data pipelines, and transform data into a structure relevant to the problem by selecting appropriate methodologies. Data Source Identification: Support the understanding of the need for requirements and service-level agreements, identify the most suitable source for data that is fit for purpose, and perform initial data quality checks on extracted data. Data Modeling: Investigate complex data elements, systems, data streams, conditions, and relationships to contribute to conceptual, physical, and logical data models. Develop the Logical Data Model and Physical Data Models, including data warehouse and data lake designs. Code Development and Testing: Write code to develop the necessary solution and application features by determining the appropriate programming language and using business, technical, and data requirements. Create experiments to review and validate the proposed solution design. Applied Business Acumen: Provide recommendations to business stakeholders to address complex business problems, create business cases for projects with an expected return on investment or cost savings, and translate business requirements into tasks, activities, and tasks that align with the overall business process. Data Governance: Establish, align, and report data governance operations and recommendations, implement data governance practices in collaboration with business stakeholders and peers, and interpret organizational and regulatory policies on data. Essential Qualifications To be successful in this role, you should have: A Bachelor's degree in Computer Science or a related field. At least 2 years of experience in programming or a related field. Proficiency in Hadoop, Spark, Cloud, Python/PySpark, and Java, as well as experience with streaming, Kafka, and backend development. Experience with data modeling and data migration protocols. Familiarity with GCP, data warehousing, and BI is preferred. Experience with integration tools like Automic, Windstream, and building highly scalable Big Data solutions and ETL ecosystems. Preferred Qualifications While not required, the following qualifications are preferred: Knowledge of Data Bricks is an additional benefit. Hands-on experience with NoSQL like Cosmos DB, alongside RDBMS like MySQL, Postgres, is a plus. Experience working with any messaging platform like Kafka is preferred. Ability to increase the efficiency of the team by fixing Cycles of Software Development, Requirement Gathering, Effort Assessment. Demonstrated innovative, decisive thinking and problem-solving skills. Skills and Competencies To excel in this role, you should possess: Strong programming skills in languages like Scala, Python, or Java. Experience with cloud computing platforms like GCP, Azure, or AWS. Excellent data modeling and data migration skills. Ability to work collaboratively with cross-functional teams. Strong problem-solving and analytical skills. Excellent communication and interpersonal skills. 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 will have access to: Ongoing training and development opportunities to enhance your skills and knowledge. Opportunities to work on complex and challenging projects that will help you grow professionally. A collaborative and dynamic work environment that encourages innovation and creativity. A competitive salary and benefits package that recognizes your contributions to the company. Work Environment and Company Culture At arenaflex, we're proud of our company culture, which is built on the following values: Respect for each other and our customers. A commitment to excellence and continuous improvement. A focus on teamwork and collaboration. A passion for innovation and creativity. A dedication to making a positive impact on our customers' lives. Compensation, Perks, and Benefits As a Data Engineer at arenaflex, you can expect a competitive salary and benefits package that includes: A salary range of $70-$80 per year, depending on experience. A comprehensive benefits package that includes health insurance, retirement savings, and paid time off. Opportunities for professional growth and development. A dynamic and collaborative work environment. Access to the latest technologies and tools. 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 will have the chance to make a real difference in the lives of our customers and contribute to the future of retail. Don't miss out on this opportunity to join a dynamic and innovative company that is shaping the future of retail. Apply now and take the first step towards an exciting and rewarding career at arenaflex! How to Apply: To apply for this job, please follow these steps: Read the official job description carefully. Fill out the application form and attach the required documents, including your resume, cover letter, and any other relevant certifications or qualifications. Submit your application and wait for our response. Apply Job! Apply for this job