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About nexawork – A Global Retail Powerhouse
nexawork is one of the world’s largest retailers, serving millions of customers across more than a dozen countries. Despite its massive scale, nexawork maintains a family‑focused, employee‑centric culture where every team member is empowered to innovate, grow, and make a tangible impact. Recognized by industry leaders for its leadership excellence, nexawork consistently ranks among the top employers worldwide.
Why This Role Matters
As a Data Engineer – Data Analytics you will be the backbone of nexawork’s data‑driven decision‑making engine. You will design, build, and operationalize robust data pipelines that transform raw, complex datasets into reliable, analytics‑ready assets. Your work will directly enable business intelligence (BI) teams, data scientists, and product owners to derive insights that shape strategic initiatives, improve customer experiences, and drive operational efficiency.
Key Responsibilities
- End‑to‑End Pipeline Development: Architect, develop, and maintain automated data pipelines that ingest, cleanse, transform, and load data from a wide variety of internal and external sources.
- Collaboration with Stakeholders: Partner closely with product owners, solution architects, and BI engineers to translate business requirements into scalable data solutions.
- Data Modeling & Storage: Design logical and physical data models, implement data‑lake, data‑warehouse, and NoSQL solutions that serve as the single source of truth for the organization.
- Performance Optimization: Continuously monitor and tune pipeline performance, ensuring high reliability, low latency, and cost‑effective resource utilization.
- Data Quality & Governance: Implement robust data‑quality frameworks, validation checks, and lineage tracking to guarantee trustworthy data for downstream analytics.
- Automation & CI/CD Integration: Work with DevOps engineers to embed pipelines into continuous integration/continuous deployment (CI/CD) workflows using version control and automated testing.
- Technical Documentation: Produce clear, comprehensive documentation for data flows, schema definitions, and operational procedures.
- Mentorship & Knowledge Sharing: Guide junior engineers, conduct code reviews, and foster a culture of continuous learning within the data engineering team.
Essential Qualifications
- Minimum 3 years of hands‑on experience designing and operating data pipelines for large, complex datasets.
- Proven expertise with nexawork PowerCenter (or equivalent ETL tools) and nexawork IICS for cloud‑based data integration.
- Strong command of SQL and ability to write advanced queries across multiple relational and non‑relational sources.
- Demonstrated experience with cloud data platforms such as nexawork Data Lake Storage (ADLS), nexawork Synapse, nexawork Databricks, and nexawork Event Hub.
- Hands‑on experience with NoSQL technologies, data‑lake architectures, and modern data‑warehouse concepts.
- Ability to communicate complex technical concepts to non‑technical audiences both verbally and in writing.
- Willingness to work in a fast‑paced, agile development environment and adapt to shifting priorities.
- Flexibility to support business needs outside regular hours, including weekends and on‑call rotations for critical incidents.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or a related discipline.
- Certifications in cloud platforms (e.g., nexawork Certified).
- Experience implementing event‑driven architectures using messaging systems such as nexawork Event Hub or Kafka.
- Familiarity with version control and DevOps practices using nexawork Git pipelines.
- Background in retail or e‑commerce domains, understanding of inventory, pricing, and customer‑behavior data.
- Exposure to SAP integration tools and scheduling platforms like UC4 (or equivalents).
Core Skills & Competencies
- Programming Languages: Proficiency in Python, Java, or Scala for data‑engineer scripting and custom transformations.
- ETL/ELT Design: Deep knowledge of extraction, transformation, and loading patterns, including batch and streaming paradigms.
- Data Modeling: Ability to create normalized and denormalized schemas, star/snowflake designs, and dimensional models.
- Cloud Architecture: Understanding of serverless services, containerization, and resource provisioning on nexawork‑based cloud environments.
- Problem Solving: Strong analytical mindset to troubleshoot data anomalies, performance bottlenecks, and system failures.
- Communication: Excellent written and oral communication skills, with a talent for translating technical details into business value.
Work Environment & Culture at nexawork
nexawork embraces a hybrid remote model that empowers employees to work from anywhere while staying connected through collaborative tools and regular virtual meet‑ups. The culture is built on trust, transparency, and a shared commitment to excellence. Employees enjoy:
- Cross‑functional teams that encourage knowledge exchange and innovation.
- Regular “innovation days” where engineers can explore emerging technologies.
- Mentorship programs and continuous‑learning budgets for certifications and courses.
- A supportive leadership team that values work‑life balance and personal growth.
Compensation, Perks & Benefits
nexawork offers a competitive compensation package that includes:
- Hourly rate of $26 (or equivalent salary based on experience).
- Comprehensive health, dental, and vision coverage.
- Retirement savings plan with company matching contributions.
- Generous paid time off, parental leave, and holiday schedules.
- Remote‑work stipend for home office setup, high‑speed internet, and ergonomic equipment.
- Access to learning platforms, certification reimbursements, and internal tech conferences.
- Employee assistance programs, wellness initiatives, and community‑service opportunities.
Career Growth & Development
At nexawork, your career trajectory is shaped by your ambition and the organization’s commitment to internal mobility. As a Data Engineer you can progress to:
- Senior Data Engineer or Lead Data Architect roles.
- Data Platform Manager overseeing multi‑team data initiatives.
- Specialist tracks such as Machine‑Learning Engineering or Cloud Architecture.
- Cross‑functional leadership positions that blend data strategy with product development.
Continuous mentorship, quarterly performance reviews, and a clear competency framework ensure you have the roadmap and resources needed to achieve your professional goals.
How to Apply
If you are ready to join one of the most admired companies in the world and help shape the future of data‑driven retail, we want to hear from you. Click the link below to submit your application, attach your resume, and showcase any relevant projects or certifications.
Join nexawork – Transform Data, Transform Lives
At nexawork, data isn’t just numbers—it’s the pulse of a global community of shoppers, partners, and employees. By becoming part of our data engineering team, you will empower decision‑makers, accelerate innovation, and help deliver the seamless experiences our customers expect. Take the next step in your career and become a catalyst for change at nexawork.
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