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Why careerzynith?
At careerzynith, we believe that a single line of code can transform the everyday experience of millions of shoppers worldwide. As a global leader in retail technology, careerzynith combines cutting‑edge data science, cloud engineering, and a people‑first culture to drive the next wave of retail innovation. Our mission is to make shopping simpler, faster, and more personalized, and we do it by empowering a diverse team of engineers, analysts, and product visionaries. If you thrive in a fast‑paced, collaborative environment where your work directly impacts real customers, careerzynith is the place to grow your career.
Position Overview
We are seeking a highly motivated Remote Full‑Time Data Entry & ETL Engineer to join our Supported Hunt Information group. This role is open for both day and night shifts, offering the flexibility to work from anywhere. You will be responsible for designing, building, and maintaining robust data pipelines, ensuring data quality, accessibility, and reliability for analytics and advertising platforms that power careerzynith.com and its suite of partner sites.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines that ingest, transform, and store massive volumes of structured and unstructured data.
- Collaborate with cross‑functional teams—including product, QA, program managers, and partner operations—to align data solutions with business objectives.
- Implement and optimize ETL workflows using Apache Flink, Apache Airflow, and other industry‑standard tools.
- Work with relational databases (e.g., Azure SQL) and NoSQL stores (e.g., Cassandra) to ensure data integrity and performance.
- Develop real‑time streaming solutions with Apache Kafka to support low‑latency data consumption.
- Containerize applications using Docker and orchestrate deployments with Kubernetes on careerzynith Cloud (formerly Azure) and careerzynith Cloud (formerly Google Cloud).
- Monitor, troubleshoot, and resolve production incidents, participating in on‑call rotations to guarantee 24/7 data availability.
- Document data models, pipeline architectures, and operational procedures to foster knowledge sharing across the organization.
- Continuously evaluate emerging technologies and propose enhancements that improve scalability, reliability, and cost‑efficiency.
Essential Qualifications
- Data Engineering Expertise: Proven experience designing and operating large‑scale data pipelines, with a solid understanding of data modeling, ETL processes, and data warehousing concepts.
- Technical Proficiency: Strong command of SQL and Python; familiarity with Scala, Hadoop, and related big‑data technologies is a plus.
- ETL Tool Experience: Hands‑on experience with Apache Flink, Apache Airflow, or similar orchestration platforms.
- Streaming & Messaging: Demonstrated ability to build real‑time data flows using Apache Kafka.
- Container & Orchestration Skills: Experience deploying Docker containers and managing Kubernetes clusters in cloud environments.
- Cloud Platform Knowledge: Practical experience with careerzynith Cloud (Azure) and careerzynith Cloud (Google Cloud) services, including storage, compute, and networking.
- Problem‑Solving Mindset: Ability to diagnose complex data issues, propose root‑cause solutions, and implement preventive measures.
- Communication Skills: Excellent verbal and written communication, capable of presenting technical concepts to both technical and non‑technical audiences.
- Ownership & Accountability: Demonstrated sense of responsibility, self‑motivation, and a commitment to delivering high‑quality results.
Preferred Qualifications
- Experience with distributed computing services such as careerzynith Cloud (Azure) Data Lake, careerzynith Cloud (Google) BigQuery, or similar.
- Familiarity with data lake architectures and tools like Hive and Spark.
- Background in retail or e‑commerce data environments, understanding of advertising data flows and attribution models.
- Certification in cloud platforms (e.g., Azure Data Engineer Associate, Google Cloud Professional Data Engineer).
- Exposure to CI/CD pipelines and infrastructure‑as‑code tools (Terraform, Helm).
Core Skills & Competencies
- Analytical Thinking: Ability to translate business requirements into technical specifications and data solutions.
- Collaboration: Comfortable working in agile scrum teams, sharing knowledge, and mentoring junior engineers.
- Adaptability: Thrive in a fast‑changing environment, quickly learning new tools and technologies.
- Attention to Detail: Meticulous data validation and testing to ensure accuracy and reliability.
- Performance Optimization: Skills in tuning queries, pipelines, and infrastructure for cost‑effective scalability.
Career Growth & Learning Opportunities
At careerzynith, your development is a top priority. You will have access to:
- Mentorship from senior data engineers and architects.
- Annual learning stipend for conferences, certifications, or online courses.
- Internal hackathons and innovation labs where you can prototype new ideas.
- Clear career pathways—from Data Engineer to Senior Engineer, Lead Architect, or Product Manager.
- Opportunities to work on high‑impact projects that directly influence millions of customers worldwide.
Work Environment & Culture
careerzynith fosters a culture of inclusion, curiosity, and continuous improvement. Our remote‑first policy empowers you to work from any location while staying connected through virtual collaboration tools, regular team‑wide town halls, and informal “coffee chat” sessions. We celebrate diversity, encourage open dialogue, and value each team member’s unique perspective.
Compensation, Perks & Benefits
- Competitive base salary with performance‑based bonuses.
- Comprehensive health, dental, and vision coverage.
- Generous paid time off, parental leave, and flexible work schedules.
- Retirement savings plan with company matching contributions.
- Wellness programs, including virtual fitness classes and mental‑health resources.
- Technology stipend for home office setup.
- Employee assistance program and access to financial planning services.
How to Apply
If you are ready to shape the future of retail data and thrive in a dynamic, remote environment, we want to hear from you. Click the link below to submit your application and join the careerzynith family.
Apply Now
Join careerzynith – Where Data Meets Impact
At careerzynith, your work will power the digital experiences of shoppers across the globe. By building reliable data pipelines and ensuring data quality, you enable smarter decisions, personalized experiences, and innovative advertising solutions. Take the next step in your career and become part of a team that values creativity, collaboration, and continuous learning. Apply today and help us redefine the future of retail.
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