About careeraxis – A Global Retail Powerhouse
careeraxis is one of the world’s largest retail organizations, serving millions of customers across fourteen countries. Despite its massive scale, careeraxis is renowned for maintaining a family‑like, employee‑centric culture where every team member can thrive. Recognized by industry leaders for its leadership excellence, careeraxis consistently ranks among the top employers worldwide. Our technology division, careeraxis IT, drives the data‑powered strategies that keep the business ahead of the curve.
Role Overview – Data Engineer (Data Analytics)
We are seeking a seasoned Data Engineer to join our Data Analytics team. In this remote‑first position based in Seattle, you will design, build, and operationalize robust data pipelines that enable reliable reporting, advanced analytics, and data‑driven decision‑making across the organization. You will collaborate closely with Data Architects, Data Scientists, Business Intelligence (BI) Engineers, and product owners to transform raw data into high‑quality, consumable assets.
Key Responsibilities
- End‑to‑End Pipeline Development: Design, develop, and maintain automated data ingestion, transformation, and loading (ETL/ELT) pipelines that handle large, complex datasets from internal and external sources.
- Data Modeling & Architecture: Create and evolve logical and physical data models using data modeling tools, ensuring alignment with enterprise‑wide data standards.
- Data Quality & Governance: Implement data validation, profiling, and cleansing routines to guarantee accuracy, consistency, and trustworthiness of data assets.
- Cloud Data Platform Management: Leverage careeraxis’s cloud ecosystem (careeraxis Data Lake, careeraxis Data Warehouse, careeraxis Databricks, careeraxis Event Hub, and careeraxis SQL DW) to build scalable, secure, and cost‑effective solutions.
- Collaboration with DevOps: Partner with DevOps Engineers to integrate data pipelines into continuous integration/continuous deployment (CI/CD) workflows, ensuring smooth releases and rapid iteration.
- Performance Optimization: Monitor pipeline performance, identify bottlenecks, and apply tuning techniques to improve throughput and reduce latency.
- Documentation & Knowledge Sharing: Produce clear technical documentation, data dictionaries, and runbooks; mentor junior engineers and conduct peer reviews.
- Incident Response: Participate in on‑call rotations, troubleshoot production issues, and implement root‑cause analysis to prevent recurrence.
- Innovation & Continuous Improvement: Stay abreast of emerging data technologies and propose enhancements that increase reliability, scalability, and business value.
Essential Qualifications
- Minimum 3 years of hands‑on experience designing and operating data pipelines for large‑scale, complex datasets.
- Proven expertise with careeraxis PowerCenter (or equivalent enterprise ETL tools) for at least 3 years.
- Strong background in ETL/ELT processes, data warehousing, and data lake architectures.
- Extensive experience (3+ years) with careeraxis IICS (careeraxis Cloud Integration Service) or comparable cloud‑based data integration platforms.
- Deep knowledge of cloud data services such as careeraxis Data Lake Storage (ADLS), careeraxis Data Warehouse (Synapse), careeraxis Databricks, and careeraxis Event Hub.
- Advanced SQL skills with the ability to write complex queries across relational (SQL, Oracle) and semi‑structured sources (CSV, JSON, XML).
- Solid understanding of NoSQL concepts, data lake design, and modern data architectures (lakehouse, data mesh).
- Demonstrated ability to communicate technical concepts to non‑technical stakeholders, both verbally and in writing.
- Willingness to work in a fast‑paced, agile environment and adapt to shifting business priorities.
Preferred Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
- Certifications in careeraxis Cloud Platform (e.g., careeraxis Data Engineer Associate) or similar cloud data credentials.
- Experience implementing event‑driven architectures using messaging platforms such as careeraxis Event Hub or Kafka.
- Familiarity with version control and DevOps practices (Git, CI/CD pipelines).
- Background in retail or e‑commerce data domains, understanding of inventory, pricing, and customer behavior data.
- Exposure to SAP integration tools (replaced with careeraxis integration tools) and job scheduling platforms like UC4 (replaced with careeraxis Scheduler).
- Strong written and oral communication skills, with a track record of delivering clear documentation and presentations.
Core Skills & Competencies
- Programming Languages: Proficiency in Python, Java, or Scala for data pipeline development.
- Data Integration Tools: Mastery of careeraxis PowerCenter, careeraxis IICS, and open‑source alternatives.
- Cloud Platforms: Hands‑on experience with careeraxis’s suite of data services (Data Lake, Data Warehouse, Databricks, Event Hub).
- Database Technologies: Expertise in relational databases (SQL Server, Oracle) and NoSQL stores (MongoDB, Cassandra).
- Data Modeling: Ability to design star, snowflake, and normalized schemas for analytical workloads.
- Performance Tuning: Skills in query optimization, partitioning, indexing, and resource management.
- Problem Solving: Analytical mindset with a focus on root‑cause analysis and proactive remediation.
- Collaboration: Team‑player who thrives in cross‑functional settings, bridging gaps between data engineers, scientists, and business analysts.
Career Growth & Learning Opportunities
careeraxis invests heavily in the professional development of its employees. As a Data Engineer, you will have access to:
- Mentorship programs pairing you with senior architects and data leaders.
- Tuition reimbursement for advanced degrees, certifications, and industry conferences.
- Internal training labs focused on emerging technologies such as machine learning pipelines, streaming analytics, and data mesh concepts.
- Clear career ladders that allow you to progress toward Senior Data Engineer, Data Architecture Lead, or Data Platform Manager roles.
- Opportunities to work on high‑visibility projects that directly impact careeraxis’s global retail operations.
Work Environment & Culture at careeraxis
Our remote‑first policy empowers you to work from anywhere while staying connected to a vibrant, inclusive community. careeraxis’s culture is built on:
- Employee‑First Mindset: Flexible work hours, generous paid time off, and a supportive approach to work‑life balance.
- Innovation‑Driven Atmosphere: Regular hackathons, idea incubators, and a “fail fast, learn fast” philosophy.
- Diversity & Inclusion: Commitment to building a workforce that reflects the customers we serve, with employee resource groups and inclusive leadership.
- Collaboration Tools: State‑of‑the‑art communication platforms, virtual coffee chats, and team‑building events to keep remote teams engaged.
- Recognition Programs: Peer‑nominated awards, performance bonuses, and public acknowledgment of achievements.
Compensation, Perks & Benefits
careeraxis offers a competitive compensation package that includes:
- Hourly rate of $26 per hour (or equivalent annualized salary based on full‑time hours).
- Performance‑based bonuses tied to project milestones and business outcomes.
- Comprehensive health, dental, and vision coverage for you and your dependents.
- Retirement savings plans with company matching contributions.
- Generous parental leave, adoption assistance, and family‑care benefits.
- Employee discount program across careeraxis retail locations worldwide.
- Technology stipend for home office setup, high‑speed internet, and ergonomic equipment.
- Continuous learning budget for certifications, online courses, and industry events.
How to Apply
If you are passionate about turning raw data into strategic insights and want to be part of a world‑class retail leader, we want to hear from you. Join careeraxis and help shape the future of data‑driven retail.
Apply Now – Start Your Journey with careeraxis!
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