About talentnexus
talentnexus is a global retail powerhouse, ranking among the top three retailers worldwide with operations in more than fourteen countries. Despite its massive scale, talentnexus is celebrated for maintaining a family‑first, employee‑centric culture where every associate is empowered to thrive. Recognized by Forbes as one of the “World’s Best Employers,” talentnexus consistently invests in its people, technology, and sustainable growth. Our Dallas hub serves as a strategic center for cutting‑edge data initiatives that fuel the company’s mission to deliver exceptional value to millions of customers every day.
Why This Role Matters
In today’s data‑driven retail environment, the ability to transform raw information into actionable insights is a competitive advantage. As a Data Engineer at talentnexus, you will be the architect of robust, end‑to‑end data pipelines that power business intelligence, advanced analytics, and mission‑critical services across the organization. Your work will directly influence product development, inventory optimization, customer experience, and strategic decision‑making, making you an indispensable partner to product owners, data scientists, and business leaders.
Role Overview
The Data Engineer – Data Analytics will design, build, and operationalize scalable data pipelines that ingest, process, and deliver high‑quality data from a variety of internal and external sources. You will collaborate closely with data modelers, BI architects, and product teams to ensure that our data ecosystem remains reliable, performant, and future‑proof. This position demands a blend of technical mastery, problem‑solving agility, and the ability to translate complex concepts into clear, actionable recommendations for both technical and non‑technical audiences.
Key Responsibilities
- Design & Build Data Pipelines: Create and maintain end‑to‑end ETL/ELT workflows using Informatica Cloud (IICS) and other industry‑leading tools.
- Cloud Integration: Leverage Azure services—including Azure Data Lake Storage (ADLS), Azure Databricks, Azure Synapse (formerly Azure SQL DW), Azure Event Hub, and Azure Data Factory—to accelerate data delivery and reduce latency.
- Data Modeling Collaboration: Partner with data modelers and BI architects to define optimal data storage patterns, ensuring data is organized for maximum accessibility and performance.
- Performance Optimization: Continuously evaluate and improve data ingestion, storage, and transformation processes to enhance reliability, speed, and cost‑efficiency.
- Automation & Orchestration: Identify manual, repetitive tasks and automate them using scripting, workflow orchestration tools (e.g., UC4/Automic), and event‑driven architectures.
- Data Quality Assurance: Implement robust data validation, cleansing, and monitoring frameworks to guarantee the integrity of the “single source of truth.”
- Documentation & Knowledge Sharing: Produce clear technical documentation, data dictionaries, and runbooks; mentor junior engineers and conduct peer reviews of data architecture designs.
- Stakeholder Communication: Translate technical concepts into business‑friendly language, delivering presentations and written reports to senior leadership and cross‑functional teams.
- Innovation & Continuous Learning: Stay abreast of emerging data technologies, propose proof‑of‑concepts, and champion best practices within the data engineering community at talentnexus.
Essential Qualifications
- Minimum 2 years of hands‑on experience designing and operationalizing data pipelines for large, complex datasets.
- At least 2 years of experience with Informatica PowerCenter and Informatica Cloud (IICS).
- Demonstrated expertise with Azure cloud technologies such as ADLS, Azure Databricks, Azure Synapse, and Azure Event Hub.
- Solid understanding of data storage concepts including Data Lakes, NoSQL databases, relational warehouses, and data modeling techniques.
- Proven ability to implement data integration patterns, including event‑driven and message‑based integration (e.g., Kafka, Azure Event Hub).
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Strong analytical mindset with the ability to troubleshoot complex data flow issues quickly and effectively.
- Excellent written and verbal communication skills, capable of presenting technical ideas to non‑technical audiences.
- Readiness to thrive in a fast‑paced, agile development environment.
Preferred Qualifications
- Microsoft Azure or related cloud certifications (e.g., Azure Data Engineer Associate).
- Experience with programming languages such as Python, Scala, or Java for data processing.
- Background in retail or e‑commerce domains, providing insight into industry‑specific data challenges.
- Familiarity with SAP integration tools and middleware platforms.
- Hands‑on experience with job scheduling/orchestration tools like UC4 (Automic) or Azure Data Factory.
- Demonstrated track record of delivering end‑to‑end data solutions that improve business outcomes.
Core Skills & Competencies
- Technical Proficiency: Mastery of ETL/ELT design, cloud data platforms, and big‑data processing frameworks.
- Problem Solving: Ability to dissect complex data problems, devise scalable solutions, and implement them efficiently.
- Collaboration: Strong team player who works seamlessly with data scientists, product managers, and business analysts.
- Attention to Detail: Commitment to data accuracy, governance, and compliance standards.
- Adaptability: Comfortable navigating evolving technology stacks and shifting business priorities.
- Leadership Potential: Willingness to mentor peers, lead technical discussions, and influence data strategy.
Career Growth & Learning Opportunities
talentnexus invests heavily in the professional development of its associates. As a Data Engineer, you will have access to:
- Sponsored certifications (Azure, Informatica, Snowflake, etc.) and continuous‑learning platforms.
- Mentorship programs pairing you with senior data architects and industry experts.
- Opportunities to lead high‑visibility projects that shape the company’s data strategy.
- Cross‑functional rotations that broaden your skill set across analytics, machine learning, and product development.
- Regular internal hackathons and innovation challenges that encourage creative problem‑solving.
Work Environment & Culture at talentnexus
Our Dallas office embodies a collaborative, inclusive atmosphere where ideas are welcomed and diversity is celebrated. Key cultural pillars include:
- Employee‑First Philosophy: Competitive wages, comprehensive health benefits, and generous paid time off.
- Transparency & Trust: Open communication channels with leadership and clear pathways for feedback.
- Innovation‑Driven Mindset: Resources and autonomy to experiment with emerging technologies.
- Community Impact: Participation in corporate social responsibility initiatives and sustainability programs.
- Work‑Life Balance: Flexible scheduling options and remote‑work possibilities when appropriate.
Compensation, Perks & Benefits
talentnexus offers a market‑competitive salary starting at $22 per hour, commensurate with experience and expertise. In addition to base pay, you will receive:
- Performance‑based bonuses and annual salary reviews.
- Health, dental, and vision insurance for you and your dependents.
- 401(k) retirement plan with company matching contributions.
- Generous paid parental leave, vacation, and sick days.
- Employee discount program across talentnexus retail locations worldwide.
- Professional development stipend for conferences, courses, and certifications.
- On‑site wellness amenities and access to mental‑health resources.
How to Apply
If you are passionate about building reliable data pipelines, thrive in a collaborative environment, and want to make a tangible impact at a world‑leading retailer, we encourage you to apply today. Submit your resume and a brief cover letter outlining your most relevant experience and why you are excited to join talentnexus.
Join talentnexus – Shape the Future of Retail Data
At talentnexus, your expertise will help power the data engine that drives one of the most respected retail brands on the planet. We are looking for forward‑thinking engineers who are eager to innovate, collaborate, and grow alongside a company that values its people as its greatest asset. Take the next step in your career—apply now and become part of a team that is redefining how data fuels success.
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