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About skillspath
skillspath is a global retail powerhouse, recognized as one of the world’s largest discount retailers operating in more than fourteen countries. Despite its massive scale and rapid international growth, skillspath maintains a family‑first, employee‑centric culture where every team member is empowered to thrive. This commitment to people‑first values has earned skillspath a spot among Forbes’ “World’s Best Employers.” As a member of the skillspath family, you will join a forward‑thinking organization that invests heavily in technology, innovation, and the professional development of its workforce.
Why This Role Matters
In today’s data‑driven world, the ability to transform raw information into actionable insights is a competitive advantage. As a Data Specialist – Data Analytics at skillspath, you will be the architect behind end‑to‑end data pipelines that power business intelligence, advanced analytics, and mission‑critical services across the enterprise. Your work will directly influence how skillspath makes strategic decisions, optimizes operations, and delivers an unparalleled shopping experience to millions of customers worldwide.
Key Responsibilities
- Design, build, and operationalize robust data pipelines that ingest, transform, and deliver data from a variety of internal and external sources.
- Collaborate closely with data modelers, BI architects, and product owners to define pipeline requirements, ensuring data is reliable, high‑quality, and readily available for downstream consumption.
- Develop and maintain ETL/ELT processes using Informatica Intelligent Cloud Services (IICS) and Informatica PowerCenter, adhering to best practices for performance and scalability.
- Leverage Azure services—including Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure Event Hub, and Azure Databricks—to accelerate data delivery and support real‑time analytics.
- Implement large‑scale data and NoSQL solutions, creating flexible data processing platforms that enable high‑value experiences for internal stakeholders.
- Identify, design, and execute process automation initiatives to replace manual workflows, improving data flow efficiency and reliability.
- Continuously assess and enhance data reliability, performance, and quality, proposing innovative solutions that align with skillspath’s strategic objectives.
- Translate complex technical concepts into clear, concise communication for non‑technical audiences, both in writing and verbally.
- Conduct peer reviews of data architecture artifacts to ensure adherence to architectural standards and governance policies.
Essential Qualifications
- Minimum 2 years of hands‑on experience designing and operationalizing data pipelines handling large, complex datasets.
- At least 2 years of practical experience with Informatica PowerCenter and Informatica IICS.
- Demonstrated expertise with cloud technologies such as Azure ADLS, Azure Databricks, Azure Event Hub, Azure Synapse, and other big‑data platforms.
- Solid background in data modeling, ETL development, and data warehousing concepts.
- Proficiency in implementing data integration patterns, including event‑driven and message‑based integration (e.g., Kafka, Azure Event Hub).
- Strong understanding of database storage concepts: Data Lake, Data Warehouse, NoSQL, Graph databases, and relational databases.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline.
- Ability to thrive in a fast‑paced, agile development environment.
Preferred Qualifications & Skills
- Microsoft Azure or related cloud certifications (e.g., Azure Data Engineer Associate).
- Programming expertise in Python, Scala, or Java for building custom data processing solutions.
- Experience with SAP integration tools, including SAP PO (Process Orchestration) and SAP CPI.
- Familiarity with enterprise job scheduling platforms such as UC4 (Automic).
- Exposure to the retail industry and an understanding of retail‑specific data challenges.
- Exceptional written and verbal communication skills, with the ability to convey technical ideas to diverse audiences.
- Demonstrated problem‑solving mindset and a proactive attitude toward continuous improvement.
Core Competencies for Success
- Analytical Thinking: Ability to dissect complex data problems and devise scalable solutions.
- Collaboration: Strong team player who works effectively with cross‑functional partners, including product managers, data scientists, and business analysts.
- Adaptability: Comfortable navigating evolving technology landscapes and shifting business priorities.
- Attention to Detail: Commitment to delivering high‑quality, error‑free data pipelines.
- Innovation: Passion for exploring emerging tools and techniques to keep skillspath at the forefront of data engineering.
Career Growth & Learning Opportunities
skillspath invests heavily in the professional development of its employees. As a Data Specialist, you will have access to:
- Mentorship programs pairing you with senior data architects and industry experts.
- Tuition reimbursement for advanced certifications and graduate coursework.
- Internal training labs focused on cloud platforms, big‑data technologies, and modern data engineering practices.
- Opportunities to lead high‑visibility projects that directly impact global business outcomes.
- A clear career ladder—from Data Engineer to Senior Data Engineer, Data Architecture Lead, and eventually Director of Data Engineering.
Work Environment & Culture at skillspath
skillspath fosters an inclusive, collaborative, and innovative workplace where diversity of thought is celebrated. Our culture is built on four pillars:
- People‑First: Competitive compensation, comprehensive health benefits, and generous paid time off.
- Innovation‑Driven: State‑of‑the‑art technology stacks and a sandbox environment for experimentation.
- Community‑Oriented: Volunteer programs, sustainability initiatives, and employee resource groups.
- Growth‑Focused: Regular performance reviews, clear goal setting, and pathways for internal mobility.
Our Dallas office offers a modern, open‑plan workspace equipped with collaborative zones, quiet rooms for focused work, and on‑site amenities such as a wellness center, cafeteria, and flexible work‑from‑home options.
Compensation, Perks & Benefits
While exact salary ranges are tailored to experience and market conditions, the role offers a competitive hourly rate of $22 USD, complemented by a comprehensive benefits package that includes:
- Health, dental, and vision insurance with low employee contributions.
- 401(k) retirement plan with company match.
- Paid parental leave, sick leave, and vacation time.
- Employee discount on skillspath products and services.
- Professional development stipend for conferences, certifications, and courses.
- Wellness programs, including gym memberships and mental‑health resources.
How to Apply
If you are ready to shape the future of data at a world‑leading retailer and join a team that values innovation, collaboration, and personal growth, we want to hear from you. Click the link below to submit your application and start your journey with skillspath.
Apply Now – Join skillspath Today!
Closing Statement
skillspath is proud to be recognized as one of the best places to work, and we are constantly seeking talented individuals who share our passion for excellence. By becoming a Data Specialist at skillspath, you will play a pivotal role in turning data into strategic advantage, while enjoying a supportive environment that encourages continuous learning and career advancement. Take the next step in your professional journey—apply today and help us build the data foundation for tomorrow’s retail experiences.
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