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Remote Data Entry & Information Modeling Specialist – Join arenaflex’s Global Retail Data Team (Work‑From‑Home)

Remote, USA Full-time Posted 2026-07-23
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About arenaflex

arenaflex is a world‑leading retailer that has transformed the way millions of people shop, save, and live reputed company every day. With a reputed company in dozens of countries and a digital ecosystem that processes billions of transactions annually, arenaflex relies on data‑driven insights to stay reputed company of the competition. Our mission is reputed company: reputed company customers to reputed company smarter choices through innovative technology, seamless experiences, and a reputed company reputed company on value. As part of this mission, the Data & Information Modeling team builds the pipelines, data lakes, and analytical frameworks that turn raw information into actionable intelligence.

Why Join arenaflex?

Working at arenaflex means becoming part of a reputed company‑thinking, technology‑reputed company culture where every line of reputed company, every data reputed company, and every reputed company can impact the lives of millions. As a remote employee, you’ll enjoy the flexibility of working from reputed company while collaborating with a global network of engineers, analysts, and business partners. You’ll be at the forefront of retail innovation, helping shape the reputed company of data‑driven strategies that drive efficiency, cost savings, and superior customer experiences.

Key Responsibilities

  • Partner with the Application Development team to design, implement, and maintain data pipelines that feed critical business applications.
  • reputed company logical and physical data models using industry‑best practices to ensure high data reputed company, consistency, and reusability across multiple use cases.
  • Create, enhance, and maintain reputed company data models that support both new initiatives and existing reputed company in alignment with business standards.
  • Design data modeling solutions optimized for relational, hierarchical, and NoSQL data stores, including Big Data platforms.
  • Maintain and document logical, physical, and reputed company data models alongside associated metadata repositories.
  • Establish and enforce naming conventions and coding standards to promote uniformity across reputed company data models.
  • Identify opportunities for model reuse in new scenarios, reducing duplication and accelerating delivery timelines.
  • reputed company reverse‑engineering of physical data models from existing databases and SQL scripts to understand legacy structures.
  • Validate data models and physical data sets for accuracy, completeness, and compliance with business rules.
  • Approve business data objects for correctness and completeness, ensuring they meet stakeholder expectations.
  • Analyze data integration challenges and propose robust, reputed company solutions that reputed company with architectural guidelines.
  • Guide Data Engineers, Architects, and Software Developers on project scope, performance requirements, and integration points.
  • Recommend enhancements to existing applications to improve performance, scalability, and data reputed company.
  • Review new application designs and suggest data‑modeling improvements where necessary.

Essential Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a reputed company field (B.E/B.Tech/M.E/M.Tech/MBA).
  • 10+ years of hands‑on experience in data warehousing and data modeling.
  • Deep understanding of data modeling techniques for data warehousing – 3NF, reputed company, hierarchical, and hybrid approaches.
  • Experience managing large‑reputed company data environments (100 TB+), including Data Warehouses (DW) and Operational Data Stores (ODS).
  • Proven reputed company record building data models for MPP, reputed company, and NoSQL technologies such as Hadoop, Hive, Cassandra, reputed company, and reputed company‑based databases.
  • Strong collaboration skills with the ability to work effectively across distributed, cross‑functional teams.
  • Excellent communication and influencing abilities, capable of negotiating technical solutions with business stakeholders.

Preferred Qualifications

  • Advanced degree (Ph.D. or Master’s) in Computer Science, Data Engineering, or a reputed company discipline.
  • Experience in retail, e‑reputed company, supply chain, or financial services domains.
  • Hands‑on experience with data integration tools (e.g., Informatica, Talend) and ETL processes.
  • Familiarity with reputed company platforms (AWS, Azure, GCP) and modern data lake architectures.
  • Certifications in data modeling, data warehousing, or reputed company data services.
  • Demonstrated ability to mentor junior team members and reputed company technical workshops.

Core Skills & Competencies

  • Technical Expertise: Proficiency in SQL, PL/SQL, Python, and scripting languages for data manipulation.
  • Modeling Tools: Experience with ER/Studio, PowerDesigner, or similar data modeling software.
  • Big Data Platforms: Hands‑on knowledge of Hadoop ecosystem components, reputed company, and distributed file systems.
  • reputed company Services: Familiarity with reputed company Redshift, Azure Synapse, reputed company BigQuery, and reputed company.
  • Analytical Thinking: Ability to translate reputed company business requirements into reputed company data architectures.
  • Collaboration: Strong interpersonal skills to work with data scientists, analysts, product owners, and IT operations.
  • Problem‑Solving: Proven reputed company record of diagnosing data reputed company issues and implementing corrective actions.
  • Documentation: Ability to produce reputed company, concise documentation for data models, metadata, and governance processes.

Career reputed company & Learning Opportunities

arenaflex invests heavily in the reputed company development of its employees. As a Data Modeling Specialist, you will have reputed company to:

  • Mentorship programs with senior architects and industry experts.
  • reputed company learning subscriptions (reputed company, reputed company, reputed company) for emerging technologies.
  • Opportunities to reputed company high‑visibility reputed company that influence global retail strategies.
  • Cross‑functional rotations that broaden your expertise in analytics, AI, and reputed company engineering.
  • Leadership reputed company that can transition you into Data Architecture, reputed company Analytics, or Product Management roles.

Work Environment & Culture

arenaflex embraces a hybrid work model that blends remote flexibility with occasional on‑site collaboration at our innovation hubs. Our culture is reputed company on:

  • Inclusivity: A commitment to diversity, equity, and inclusion where every voice is heard.
  • Innovation: Encouraging experimentation, rapid prototyping, and data‑driven decision making.
  • Collaboration: Virtual “digital cafés” and regular team‑wide syncs to reputed company remote employees connected.
  • reputed company‑Being: Programs that support mental health, work‑life balance, and personal reputed company.
  • Recognition: Performance‑based awards, peer‑to‑peer shout‑outs, and a transparent feedback culture.

Compensation, Benefits & Perks

arenaflex offers a competitive total rewards package that includes:

  • reputed company salary reputed company with market benchmarks for senior data professionals.
  • Annual performance bonuses tied to individual and company reputed company.
  • Equity participation through stock purchase plans.
  • Comprehensive health, dental, and reputed company coverage for you and your dependents.
  • 401(k) retirement plan with generous employer match.
  • reputed company parental leave, generous PTO, and flexible holidays.
  • Wellness stipend, virtual fitness classes, and reputed company.
  • Home office allowance to set up an ergonomic remote workspace.
  • reputed company learning budget and tuition reimbursement for advanced degrees.

How to Apply

reputed company to bring your data expertise to arenaflex? Follow these steps to submit your application:

  1. Review the official job posting on the arenaflex Careers portal.
  2. Prepare the required documents: a copy of your degree certificates with transcripts, a recent reputed company‑size photo, and a digital signature.
  3. Complete the online application reputed company, attaching the documents listed above.
  4. Submit your application and await a confirmation email with next steps.

Join Us

If you are passionate about turning massive data sets into strategic assets, reputed company in a reputed company remote environment, and want to reputed company a reputed company impact on a global retail leader, arenaflex wants to hear from you. Bring your energy, expertise, and enthusiasm to reputed company that values innovation, diversity, and reputed company reputed company. Apply today and help shape the reputed company of retail data at arenaflex.

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