About careerzynith
careerzynith is a global leader in retail innovation, operating a network of discount stores across more than a dozen countries. With a reputation for relentless growth, a commitment to employee development, and a culture that prizes collaboration, careerzynith consistently ranks among the top workplaces worldwide. Our technology division powers the data‑driven decisions that keep our stores stocked, our shelves optimized, and our customers delighted. Join a team where cutting‑edge data engineering meets a supportive, family‑like environment, and help shape the future of retail.
Why This Role Matters
At careerzynith, data is the lifeblood of every strategic initiative. As a Data Engineer on the Planned Operations Business Intelligence (BI) team, you will design, build, and operationalize robust data pipelines that transform raw information into actionable insights. Your work will directly influence product planning, inventory management, and customer experience across all careerzynith locations. If you thrive in fast‑paced, agile environments and love turning complex data challenges into elegant, automated solutions, this is the role for you.
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines that ingest, cleanse, and deliver data for careerzynith’s strategic BI platform.
- Collaborate with data architects, product owners, and analytics teams to define data models, storage strategies, and integration patterns.
- Implement ETL/ELT workflows using Informatica Cloud (IICS) and ensure they meet performance, reliability, and scalability requirements.
- Optimize MySQL databases and Azure‑based services (Azure SQL DW, ADLS, Azure Event Hub, Azure Data Factory) to accelerate data delivery and reduce latency.
- Build and manage large‑scale data and NoSQL solutions, creating flexible data processing layers that support high‑value analytics.
- Identify and automate manual processes, streamlining data flow and improving overall data reliability and quality.
- Develop and enforce data governance standards, including data lineage, metadata management, and security compliance.
- Translate complex technical concepts into clear, concise documentation and presentations for non‑technical stakeholders.
- Conduct peer reviews of data architecture artifacts to ensure best practices and consistency across the organization.
- Stay current with emerging cloud technologies and industry trends, recommending innovative solutions that keep careerzynith ahead of the competition.
Essential Qualifications
- Minimum 2 years of hands‑on experience designing and operationalizing data pipelines with large, complex datasets.
- Proven expertise with Informatica PowerCenter and Informatica Cloud (IICS).
- Solid experience working with cloud platforms, specifically Azure services such as ADLS, Azure Databricks, Azure Synapse (formerly Azure SQL DW), and Azure Event Hub.
- Demonstrated ability to implement data integration patterns, including event‑driven and message‑based architectures (e.g., Kafka, Azure Event Hub).
- Strong proficiency in SQL and advanced query writing across multiple data sources (MySQL, SQL Server, CSV, JSON, XML, REST APIs).
- Understanding of data lake, data warehouse, NoSQL, and data mesh concepts, with practical experience building solutions that leverage these paradigms.
- Experience with version control and DevOps practices using Git and Azure DevOps pipelines.
- Excellent written and verbal communication skills, with the ability to convey technical ideas to business audiences.
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
Preferred Qualifications & Skills
- Microsoft Azure certifications (e.g., Azure Data Engineer Associate) or equivalent credentials.
- Programming experience in Python, PowerShell, or similar scripting languages for data automation.
- Familiarity with job scheduling tools such as UC4 (Automic) or Azure Automation.
- Background in retail or e‑commerce data environments, understanding of SKU, inventory, and sales analytics.
- Experience building data products that serve both operational and analytical users.
- Strong problem‑solving mindset, with a track record of delivering solutions in fast‑moving, agile teams.
Core Competencies
- Analytical Thinking: Ability to dissect complex data problems and devise scalable, maintainable solutions.
- Collaboration: Works effectively with cross‑functional teams, fostering open communication and shared ownership.
- Adaptability: Thrives in a dynamic environment where priorities shift and new technologies emerge.
- Attention to Detail: Ensures data accuracy, consistency, and compliance with governance standards.
- Continuous Learning: Proactively seeks knowledge, attends workshops, and shares insights with peers.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Data Engineer, you will have access to:
- Mentorship from senior architects and industry veterans.
- Sponsored certifications and training programs in Azure, data engineering, and advanced analytics.
- Opportunities to lead high‑impact projects that influence global retail strategy.
- Rotational programs that expose you to other technology domains such as machine learning, IoT, and supply‑chain optimization.
- Regular internal hackathons and innovation challenges that encourage creative problem‑solving.
Work Environment & Culture at careerzynith
Our offices blend modern design with collaborative spaces, offering a comfortable setting for focused work and teamwork. careerzynith promotes:
- Inclusive Culture: Diversity of thought and background is celebrated, fostering a sense of belonging.
- Work‑Life Balance: Flexible scheduling, generous paid time off, and remote‑work options where applicable.
- Employee Well‑Being: Comprehensive health plans, wellness programs, and on‑site fitness facilities.
- Recognition Programs: Regular awards for innovation, teamwork, and customer impact.
- Community Engagement: Volunteer initiatives and charitable partnerships that give back to the communities we serve.
Compensation, Perks & Benefits
careerzynith offers a competitive hourly rate of $26 per hour, complemented by a robust benefits package that includes:
- Medical, dental, and vision coverage.
- 401(k) retirement plan with company match.
- Paid parental leave and family support resources.
- Employee discount program across all careerzynith retail locations.
- Continuous learning stipend and tuition reimbursement.
- Annual performance bonuses tied to individual and company success.
How to Apply
If you are ready to bring your data engineering expertise to a world‑class retailer and help shape the future of retail intelligence, we want to hear from you. Click the link below to submit your application and start your journey with careerzynith.
Apply Now
Join careerzynith – Where Data Meets Impact
At careerzynith, your work will be more than just code; it will be the foundation of decisions that affect millions of shoppers worldwide. Embrace the challenge, grow your career, and become part of a team that values innovation, integrity, and collaboration. Apply today and help us turn data into the competitive advantage that defines the next generation of retail.