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About arenaflex
Welcome to arenaflex, where innovation meets impact. As one of the world's most dynamic and forward-thinking organizations, arenaflex has redefined what it means to be a leader in retail, technology, and customer experience. With an unparalleled scale comes extraordinary data—and we're looking for exceptional talent to help us unlock its full potential.
At arenaflex, we believe that data is more than numbers; it's the key to understanding our customers, improving their lives, and shaping the future of retail. Our commitment to affordable prices, exceptional service, and community impact has made us a household name across the globe. Now, we're inviting you to join our technology team and be part of something truly transformative.
If you're passionate about leveraging data to solve complex challenges, thrive in collaborative environments, and want your work to impact millions of lives daily, arenaflex is the place for you.
About the Data Ventures Team
Our Data Ventures team is at the heart of arenaflex's data-driven transformation. We build reusable, scalable technologies that power customer acquisition, seamless onboarding, and merchant empowerment. We're the force behind creating affordable yet personalized experiences across all customer touchpoints—in-store, mobile apps, and web platforms.
This team supports our U.S. Marketplace operations, focusing on delivering rapid, effective solutions for seller inquiries and tickets. We collaborate across departments to ensure an exceptional experience for both sellers and customers, embodying arenaflex's "Everyday Low Cost" philosophy while maintaining flexibility and innovation.
Join us, and you'll be working alongside brilliant data scientists, engineers, and business partners who are all united by a single mission: using data to make shopping better for everyone.
What You'll Do
Are you ready to dive into one of the largest data ecosystems in the world? As a Data Engineer at arenaflex, you'll play a critical role in designing, building, and maintaining the data infrastructure that powers our retail operations. Your work will directly enable data scientists and analysts to derive insights that shape business decisions affecting millions of customers.
Key Responsibilities:
- Data Transformation and Integration: Extract data from identified databases and create robust data pipelines. Transform raw data into relevant, usable formats by selecting appropriate methods. Stay current with emerging data analysis trends and best practices.
- Data Source Identification: Support the understanding of requirement specifications and service level agreements. Identify the most suitable data sources that align with business objectives. Perform initial data quality checks on extracted datasets to ensure accuracy and reliability.
- Data Modeling: Analyze complex data elements, systems, data streams, relationships, and dependencies to contribute to conceptual, physical, and logical data models. Develop Logical Data Models and Physical Data Models, including data warehouse and data lake designs. Define relational tables, primary and foreign keys, and stored procedures. Evaluate existing data models and physical databases for variances and inconsistencies. Investigate data-related system integration challenges and propose appropriate solutions.
- Code Development and Testing: Write code to develop required solutions and application features by determining the appropriate programming language and utilizing business, technical, and data requirements. Create test cases to review and validate proposed solution designs. Build proof-of-concept implementations. Test code using appropriate methodologies. Deploy software to production servers. Contribute to code documentation, maintain playbooks, and provide timely development updates.
- Applied Business Acumen: Provide recommendations to business partners to address complex business challenges. Develop business cases for projects with projected return on investment or cost savings. Translate business requirements into tasks, activities, and milestones while adapting to overall business processes. Deliver tangible solutions and results that meet evolving business needs. Suggest new processes and approaches to improve operational efficiency.
- Data Governance: Establish, adjust, and report on data governance activities and recommendations. Implement data governance practices in collaboration with business partners and peers. Interpret organizational and regulatory policies on data. Educate others on data governance processes, practices, methodologies, and rules. Provide recommendations for required updates or contributions to data governance policies, practices, or rules.
- Team Leadership and Mentorship: Demonstrate exceptional expertise and apply this to the development, execution, and improvement of action plans by providing expert advice and guidance to others. Support and adjust efforts to meet client and business needs while building commitment for perspectives and reasoning.
- Stakeholder Collaboration: Build relationships and networks with key stakeholders to support the execution of business solutions. Identify business needs, determine, and execute essential processes and practices.
- Compliance and Ethics: Promote and support organizational policies, procedures, mission, values, and standards of ethics and integrity through training and providing guidance to others. Ensure compliance with all applicable regulations and standards.
- Continuous Improvement: Ensure business needs are being met by evaluating the ongoing effectiveness of current plans, projects, and initiatives. Apply concepts for improving efficiency and cost effectiveness. Participate in and support community outreach events.
- Documentation and Training: Create training documentation and train end-users on data modeling. Supervise the tasks of less experienced programmers and provide system troubleshooting support.
What You'll Bring
Essential Qualifications:
- Technical Expertise: Proficiency with Hadoop, Spark, Cloud platforms, Python/PySpark, and Java. Experience with streaming technologies and Kafka. Strong background in backend development.
- Programming Skills: A proven track record coding with at least one programming language such as Scala or Python.
- Cloud Platform Experience: Familiarity with at least one major cloud computing platform such as Google Cloud Platform (GCP) or Microsoft Azure.
- Data Modeling: Strong skills in data modeling and data migration protocols. Ability to design efficient and scalable data structures.
- Big Data Solutions: Experience building highly scalable Big Data solutions and ETL ecosystems.
- Integration Tools: Experience with integration tools such as Automic, Wind Flow, or similar platforms.
- Educational Background: Bachelor's degree in Computer Science, Engineering, or a related technical field.
Preferred Qualifications:
- Hands-on experience with Databricks for big data analytics.
- Experience with NoSQL databases like Cosmos DB, combined with RDBMS experience (MySQL, PostgreSQL).
- Practical working experience with messaging platforms such as Kafka.
- Experience with GCP and data warehousing solutions.
- Business Intelligence (BI) experience.
- Ability to increase team efficiency by optimizing cycles of software development, requirement gathering, and effort estimation.
- Demonstrated innovative, critical thinking, and problem-solving skills.
- Advanced degree in Computer Science or a related field.
- Two or more years of progressive experience in data engineering, database engineering, or business intelligence roles.
Skills and Competencies
To thrive in this role, you'll need a unique combination of technical excellence and business awareness:
- Technical Proficiency: Deep understanding of big data technologies, ETL processes, and data pipeline architecture.
- Problem-Solving: Ability to tackle complex data challenges with creative, efficient solutions.
- Communication: Strong ability to translate technical concepts for non-technical stakeholders.
- Collaboration: Experience working effectively with cross-functional teams including data scientists, analysts, and business partners.
- Adaptability: Comfortable working in a fast-paced, evolving environment with shifting priorities.
- Attention to Detail: Commitment to data quality and accuracy in all deliverables.
- Leadership Potential: Ability to mentor junior team members and contribute to best practices.
Career Growth and Learning Opportunities
At arenaflex, your career trajectory is limited only by your ambition. As part of our Global Tech team, you'll have access to:
- Professional Development: Comprehensive training programs designed to enhance your technical skills and prepare you for future challenges.
- Career Advancement: Clear pathways to senior technical roles, team leadership positions, and specialized data domains.
- Cutting-Edge Technologies: Exposure to the latest big data tools, cloud platforms, and analytics frameworks.
- Cross-Functional Experience: Opportunities to work across different business units and understand the full retail ecosystem.
- Industry Recognition: Work on projects that impact millions of customers and shape the future of retail technology.
- Mentorship Programs: Learn from industry experts and contribute to growing the next generation of data professionals.
Work Environment and Culture
arenaflex embraces a hybrid work model that combines the best of both worlds. Our offices serve as collaboration hubs where teams come together for brainstorming, relationship-building, and critical work sessions. When not on-site, you'll have the flexibility to work remotely, allowing you to maintain productivity and work-life balance.
Our culture is built on mutual respect, diversity of thought, and a shared commitment to excellence. We believe that diverse perspectives drive innovation, and we're proud to be an Equal Opportunity Employer. At arenaflex, you'll find:
- Inclusive teams that value different backgrounds, experiences, and ideas.
- A supportive environment where your contributions are recognized and rewarded.
- Team-building activities and community engagement opportunities.
- Employee resource groups and networking opportunities.
- A focus on work-life balance and employee well-being.
Compensation and Benefits
arenaflex offers a competitive compensation package that reflects your skills, experience, and contributions:
- Annual Salary: $70,000 - $80,000 (commensurate with experience and qualifications).
- Performance Incentives: Recognition grants and bonuses for exceptional performance.
- Retirement Savings: 401(k) matching program to help you plan for the future.
- Stock Purchase Plan: Opportunities to invest in arenaflex's continued success.
- Paid Time Off: Generous PTO policy including vacation, personal days, and sick leave.
- Parental Leave: Paid maternity and paternity leave for growing families.
- Health and Wellness: Comprehensive health insurance plans, dental coverage, vision benefits, and mental health support.
- Additional Perks: Employee discounts, wellness programs, and various voluntary benefits.
Equal Opportunity Employer
arenaflex is committed to creating a diverse and inclusive workplace. We believe that understanding and embracing unique perspectives makes us stronger and better positioned to serve our customers and communities. As an Equal Opportunity Employer, we do not discriminate based on race, color, religion, national origin, sex, age, disability, genetic information, sexual orientation, gender identity, or any other protected characteristic.
We welcome all qualified applicants and encourage individuals from all backgrounds to apply. Your unique experiences and ideas are valuable to us, and we're excited to see what you'll bring to the arenaflex family.
How to Apply
Ready to make an impact? Here's how to join the arenaflex team:
- Review the official job posting and ensure you meet the qualifications.
- Prepare your application materials, including:
- Updated resume highlighting your relevant experience.
- Cover letter expressing your interest in the Data Engineer role.
- Qualifications certificate with mark sheets.
- Passport-sized photographs.
- Signature (as required).
- Complete the online application form.
- Attach all required documents and submit your application.
Join arenaflex today and become part of a team that's transforming the retail landscape through the power of data. Your work will matter. Your career will flourish. And together, we'll continue helping people save money so they can live better.
Note: The above information describes the general nature and level of work performed in this role. It is not intended to be a comprehensive inventory of all duties and responsibilities. The full job description may be made available during the recruitment process.