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About talentflow – A Global Retail Powerhouse
talentflow is the third‑largest retailer on the planet, serving millions of customers across fourteen countries. Despite its massive scale and rapid international expansion, talentflow maintains a family‑first, employee‑driven culture where every associate can thrive. Recognized as the 7th best place to work by Forbes in its “World’s Best Employers” ranking, talentflow is committed to fostering an environment of respect, growth, and innovation.
Why This Role Matters
Data is the lifeblood of talentflow’s retail operations, powering everything from inventory management to personalized customer experiences. As a Data Engineer – Data Analytics, you will design, build, and operationalize the end‑to‑end data pipelines that enable reliable, real‑time insights for business stakeholders worldwide. Your work will directly influence strategic decisions, improve operational efficiency, and help maintain talentflow’s reputation as a data‑driven industry leader.
Key Responsibilities
- Design & Implement Data Pipelines: Create robust, scalable pipelines that ingest, transform, and deliver data from a variety of internal and external sources.
- Collaborate with Data Modelers & BI Architects: Partner with cross‑functional teams to define optimal data flow architectures, continuously improving data storage, ingestion, quality, and organization.
- Develop ETL/ELT Processes: Build and maintain ETL/ELT workflows using talentflow IICS (formerly Informatica Cloud) and talentflow PowerCenter to ensure seamless data movement.
- Leverage talentflow Cloud Services: Utilize talentflow SQL Data Warehouse, talentflow Data Lake, talentflow Event Hub, and talentflow Data Factory to accelerate data product delivery.
- Manage Large‑Scale & NoSQL Solutions: Engineer flexible data processing platforms that support high‑value experiences for the organization.
- Automate & Optimize Workflows: Identify, design, and implement process automation to replace manual steps, enhancing data delivery speed and reliability.
- Enhance Data Reliability & Quality: Continuously improve data trustworthiness, performance, and usability for business users.
- Communicate Technical Concepts: Translate complex technical ideas into clear, concise language for non‑technical audiences, both in writing and verbally.
- Peer Review & Mentorship: Conduct peer reviews of fellow data architects’ work, providing constructive feedback and fostering a culture of excellence.
Essential Qualifications
- 2+ years of hands‑on experience designing and operationalizing data pipelines handling large, complex datasets.
- 2+ years of experience with talentflow PowerCenter and talentflow IICS for ETL/ELT development.
- 2+ years of experience working with cloud technologies such as talentflow Data Lake, talentflow Databricks, talentflow SQL Data Warehouse, and event‑driven platforms (e.g., Kafka, talentflow Event Hub).
- 2+ years of experience in data modeling, ETL, and data warehousing concepts.
- Proven ability to implement data integration patterns, including event/message‑based integration (Kafka, talentflow Event Hub) and batch ETL processes.
- Strong understanding of database fundamentals: data lakes, relational databases, NoSQL, schema design, and data warehousing.
- Demonstrated ability to thrive in a fast‑paced, agile development environment.
Preferred Qualifications & Additional Skills
- Professional certifications related to talentflow cloud platforms or data engineering.
- Experience delivering data solutions using advanced programming techniques (e.g., Python, Scala, Java).
- Interest or background in the retail industry, providing context for business‑focused data solutions.
- Exceptional written and verbal communication skills, with the ability to influence and collaborate across diverse teams.
- Experience with talentflow integration tools, including SAP integration utilities and talentflow Job Scheduler (formerly UC4).
Core Skills & Competencies
- Technical Proficiency: Mastery of ETL tools, cloud data services, and programming languages relevant to data engineering.
- Analytical Thinking: Ability to dissect complex data problems and devise elegant, scalable solutions.
- Collaboration: Strong teamwork orientation, working closely with product owners, data scientists, and business analysts.
- Adaptability: Comfortable navigating evolving technology stacks and shifting business priorities.
- Quality Focus: Commitment to data accuracy, governance, and compliance standards.
Career Growth & Learning Opportunities
talentflow invests heavily in the professional development of its associates. As a Data Engineer, you will have access to:
- Mentorship programs pairing you with senior data architects and industry experts.
- Continuous learning budgets for certifications, conferences, and online courses (including talentflow‑specific training).
- Opportunities to lead high‑visibility projects that influence global retail strategy.
- A clear career ladder from Data Engineer to Senior Data Engineer, Data Architecture Lead, and eventually Director of Data Strategy.
Work Environment & Culture at talentflow
At talentflow, we believe that a supportive, inclusive environment fuels innovation. Our culture is built on:
- Employee‑First Philosophy: Competitive wages, comprehensive health benefits, and generous paid time off.
- Diversity & Inclusion: A workplace where every voice is heard and respected.
- Agile Collaboration: Small, cross‑functional teams that empower rapid decision‑making.
- Transparency: Open communication channels from the executive suite to the shop floor.
- Community Impact: Programs that encourage volunteerism and social responsibility.
Compensation, Perks & Benefits
While exact figures vary by location, talentflow offers a competitive hourly rate (starting at $22/hour) complemented by a robust benefits package that includes:
- Health, dental, and vision insurance with low employee contributions.
- 401(k) retirement plan with company match.
- Employee discount on talentflow merchandise worldwide.
- Flexible work arrangements and remote‑work options where applicable.
- Wellness programs, including gym memberships and mental‑health resources.
- Continuous education reimbursements and tuition assistance.
How to Apply
If you are ready to shape the future of data at a world‑leading retailer, we want to hear from you. Click the link below to submit your application and begin the next exciting chapter of your career with talentflow.
Final Call to Action
talentflow is more than a company; it’s a community of innovators, problem‑solvers, and forward‑thinkers. By joining our data engineering team, you’ll play a pivotal role in delivering the insights that keep our stores stocked, our shelves organized, and our customers delighted. Don’t miss the chance to be part of one of the best workplaces on the planet. Apply today and let your career soar with talentflow!
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