About careeraxis
Welcome to careeraxis, a global leader in retail and technology solutions that empowers millions of customers worldwide. With a presence in 14 countries and a reputation for operational excellence, careeraxis is committed to delivering exceptional value through innovation, sustainability, and a people‑first culture. Our teams thrive in an environment that blends the rigor of a large enterprise with the agility of a startup, fostering continuous learning, collaboration, and impact.
Why careeraxis?
At careeraxis, we don’t just sell products – we create experiences. Our data-driven approach fuels everything from inventory optimization to personalized marketing, ensuring that every decision is backed by reliable, real‑time insights. We’re proud to be recognized as one of the world’s best employers, consistently ranking in Forbes’ “World’s Best Employers” list. If you’re passionate about turning data into action and want to work with cutting‑edge cloud technologies, careeraxis is the place for you.
Position Overview
We’re seeking a highly skilled Senior Data Engineer to design, build, and maintain robust data pipelines that power analytics, reporting, and business intelligence across careeraxis’s global operations. This role is pivotal in ensuring that data flows seamlessly from source systems to our data lake, warehouse, and downstream applications, enabling stakeholders to make informed decisions quickly and confidently.
Key Responsibilities
- Architect, develop, and deploy end‑to‑end data pipelines using cloud services such as Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure Databricks, and Azure Event Hubs.
- Collaborate with data modelers, BI architects, and business stakeholders to translate requirements into scalable, maintainable data solutions.
- Design and implement ETL/ELT processes using Informatica PowerCenter and Informatica Intelligent Cloud Services (IICS) to ingest, transform, and load large, complex datasets.
- Develop and maintain NoSQL and relational data structures, ensuring high performance, reliability, and data quality.
- Automate repetitive data workflows, optimize data ingestion pipelines, and reduce processing times through code‑first and declarative approaches.
- Implement data governance practices, including metadata management, lineage tracking, and data quality checks.
- Conduct peer reviews of data architecture designs and code, providing constructive feedback to maintain best practices.
- Communicate complex technical concepts to non‑technical audiences through clear documentation and presentations.
- Stay current with emerging data technologies and industry trends, recommending innovations that enhance careeraxis’s data capabilities.
Essential Qualifications
- Minimum 2 years of hands‑on experience designing and operating data pipelines for large, complex datasets.
- Proficiency with Informatica PowerCenter and Informatica IICS for ETL/ELT development.
- Strong background in cloud technologies, including Azure Data Lake, Azure Synapse, Azure Databricks, Azure Event Hubs, and Azure SQL Data Warehouse.
- Experience with NoSQL databases (e.g., Cosmos DB, MongoDB) and relational data warehousing concepts.
- Solid understanding of data modeling, data lake architecture, and data lakehouse patterns.
- Demonstrated ability to automate data workflows and improve pipeline efficiency.
- Excellent communication skills, both written and verbal, with the ability to explain technical details to business stakeholders.
- Strong problem‑solving skills and a proactive approach to troubleshooting and optimization.
- Commitment to working in a fast‑paced, agile environment with a focus on continuous improvement.
Preferred Qualifications
- Microsoft Azure certifications (e.g., AZ-900, DP-203, or similar).
- Experience building data pipelines using programming languages such as Python, Scala, or Java.
- Knowledge of SAP integration tools and experience with SAP data extraction.
- Familiarity with scheduling and orchestration tools like UC4 (Automic) or Azure Data Factory.
- Background in the retail industry, understanding of supply chain, inventory, and customer analytics.
- Experience with real‑time data streaming technologies such as Kafka or Azure Event Hubs.
Skills & Competencies
- Technical Proficiency: Expertise in cloud data services, ETL/ELT tools, and data modeling.
- Analytical Thinking: Ability to dissect complex data problems and devise elegant solutions.
- Collaboration: Proven track record of working cross‑functionally with data scientists, BI developers, and business units.
- Adaptability: Comfortable navigating shifting priorities and rapidly evolving technology landscapes.
- Attention to Detail: Commitment to data quality, governance, and compliance.
- Communication: Skilled at translating technical jargon into actionable insights for diverse audiences.
Career Growth & Learning Opportunities
At careeraxis, your professional development is a top priority. As a Senior Data Engineer, you’ll have access to:
- Mentorship from senior architects and data scientists.
- Regular training on emerging cloud services, AI/ML integration, and advanced analytics.
- Opportunities to lead high‑impact projects that shape careeraxis’s data strategy.
- Cross‑functional rotations in data science, product management, and operations.
- Support for industry certifications and conference attendance.
Work Environment & Culture
Our Dallas office is a vibrant hub of collaboration, creativity, and innovation. You’ll find:
- A diverse, inclusive workforce that values every voice.
- Flexible work arrangements, including hybrid and remote options.
- State‑of‑the‑art facilities with modern meeting spaces, breakout zones, and wellness amenities.
- A culture that celebrates experimentation, learning from failure, and celebrating successes.
- Regular team events, hackathons, and knowledge‑sharing sessions.
Compensation & Benefits
While the base rate for this role is $22 per hour, careeraxis offers a comprehensive benefits package designed to support your well‑being and career:
- Competitive salary and performance‑based bonuses.
- Health, dental, and vision insurance plans.
- 401(k) retirement plan with company match.
- Paid time off, including vacation, sick leave, and holidays.
- Employee wellness programs, including gym memberships and mental health resources.
- Generous parental leave and family support benefits.
- Professional development stipend and tuition reimbursement.
Ready to Join careeraxis?
If you’re ready to take your data engineering career to the next level, contribute to a global retail powerhouse, and work in an environment that rewards innovation and collaboration, we want to hear from you. Apply today and become part of careeraxis’s mission to transform data into meaningful, customer‑centric experiences.
Apply now and let your data expertise shine at careeraxis!