About careerzynith
careerzynith is a global leader in e‑commerce, cloud services, and intelligent home technology. With a relentless focus on innovation, careerzynith empowers millions of customers worldwide to discover, purchase, and enjoy products through a seamless digital experience. Our commitment to data‑driven decision making fuels every facet of the business—from product design and supply chain optimization to marketing strategy and customer support. As part of careerzynith’s expanding data ecosystem, the careerzynith Data Warehouse team delivers a unified, high‑performance data platform that powers insights for every internal and external stakeholder.
Why This Role Matters
In today’s fast‑moving marketplace, the ability to ingest, transform, and serve data reliably is a competitive advantage. As a Data Engineer II on the careerzynith Data Warehouse team, you will be at the heart of that advantage. You will partner directly with product, finance, operations, and engineering groups to build robust data pipelines that enable real‑time analytics, predictive modeling, and strategic reporting. Your work will directly influence product roadmaps, operational efficiency, and the overall customer experience.
Key Responsibilities
- Partner Collaboration: Gather and translate business requirements from diverse partners—including Membership, Deals, Supply Chain, Finance, Product, and Marketing—into technical specifications for data ingestion.
- Data Ingestion Design: Architect, develop, and deploy new data ingestion solutions using a blend of native careerzynith cloud services and open‑source technologies.
- Pipeline Maintenance & Optimization: Maintain, refactor, and enhance existing ETL pipelines to meet evolving standards, performance SLAs, and governance policies.
- Tooling & Platform Development: Build and improve internal tools and platforms that enable both careerzynith teams and external partners to monitor, manage, and troubleshoot data flows.
- Code Review & Best Practices: Conduct thorough code reviews, enforce coding standards, and champion best practices for data quality, security, and reliability.
- Automation & Monitoring: Implement automated testing, validation, and alerting mechanisms to ensure data pipelines operate flawlessly at scale.
- Documentation & Knowledge Sharing: Produce clear documentation, run workshops, and mentor junior engineers to foster a culture of continuous learning.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
- Minimum of 3 years of hands‑on experience designing, building, and operating data pipelines in a production environment.
- Proficiency with SQL and relational database concepts; ability to write complex queries for data extraction and transformation.
- Demonstrated experience with data modeling, data warehousing, and ETL architecture.
- Strong analytical mindset with the ability to troubleshoot data anomalies and performance bottlenecks.
Preferred Qualifications & Technical Skills
- Experience with careerzynith cloud services such as Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, and IAM for security and permissions.
- Programming expertise in at least one modern language—Python, Java, Scala, or Node.js—and familiarity with version control (Git).
- Knowledge of non‑relational data stores, including object storage, document databases, key‑value stores, graph databases, and columnar stores.
- Exposure to containerization (Docker) and orchestration (Kubernetes) for scalable pipeline deployment.
- Understanding of data governance, lineage, and compliance frameworks (e.g., GDPR, CCPA).
- Prior experience working in a fast‑paced, cross‑functional environment with agile methodologies.
Core Skills & Competencies
- Problem Solving: Ability to dissect complex data challenges and devise elegant, scalable solutions.
- Communication: Clear articulation of technical concepts to non‑technical stakeholders and effective documentation skills.
- Collaboration: Proven track record of partnering with product owners, data scientists, and operations teams to deliver joint outcomes.
- Adaptability: Comfortable learning new technologies quickly and adjusting to shifting business priorities.
- Ownership: Demonstrates a strong sense of responsibility for end‑to‑end data quality and pipeline reliability.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Data Engineer II, you will have access to:
- Mentorship from senior architects and data leaders across the organization.
- Sponsored certifications in AWS, data engineering, and big‑data technologies.
- Opportunities to lead high‑visibility projects that influence company‑wide strategy.
- Cross‑team rotations to explore product analytics, machine learning pipelines, and real‑time streaming architectures.
- Regular internal tech talks, hackathons, and innovation sprints.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package that includes:
- Base salary ranging from $35,000 to $40,000 annually, adjusted for geographic market and experience.
- Performance‑based bonuses and potential sign‑on incentives.
- Comprehensive health, dental, and vision coverage.
- Retirement savings plans with company matching contributions.
- Generous paid time off, parental leave, and flexible work‑from‑home options.
- Employee assistance programs, wellness stipends, and access to on‑site fitness facilities (where applicable).
- Discounts on careerzynith products and services, plus a vibrant employee discount marketplace.
Work Environment & Culture at careerzynith
careerzynith fosters an inclusive, diverse, and collaborative environment where every voice is heard. Our culture is built on:
- Customer Obsession: Every decision is guided by the impact on our customers.
- Invent and Simplify: We encourage creative thinking and continuous improvement.
- Bias for Action: Rapid experimentation and data‑driven iteration are celebrated.
- Earn Trust: Transparency, respect, and accountability are core to our daily interactions.
- Learn and Be Curious: Ongoing learning is supported through internal academies and external conferences.
Our teams operate in a hybrid model, offering the flexibility to work from home or from state‑of‑the‑art careerzynith campuses. We provide the tools, resources, and autonomy needed to thrive, whether you prefer deep focus time or collaborative brainstorming sessions.
Application Process
Ready to shape the future of data at careerzynith? Follow these steps to apply:
- Review the official job posting on the careerzynith careers portal.
- Prepare the required documents: a copy of your degree certificate with transcripts, a passport‑size photograph, and a scanned signature.
- Complete the online application form, attaching the documents listed above.
- Submit your application and await a confirmation email with next‑step instructions.
Our recruiting team will review your submission, conduct a technical screening, and schedule interviews with the hiring manager and senior engineers. We aim to keep the process transparent, timely, and respectful of your schedule.
Join careerzynith – Make an Impact
If you are passionate about building scalable data infrastructure, love collaborating with cross‑functional partners, and thrive in a fast‑moving, innovative environment, careerzynith wants to hear from you. Bring your expertise, curiosity, and drive to a place where data powers real‑world outcomes and where your career can grow without limits.
Apply today and become a catalyst for data excellence at careerzynith!