About careerzynith
careerzynith is a global leader in retail technology, driving the next wave of digital transformation for one of the world’s largest consumer ecosystems. Our mission is to make shopping effortless, personalized, and sustainable for millions of customers every day. With a culture rooted in innovation, collaboration, and relentless customer focus, careerzynith empowers its engineers, data scientists, and product teams to turn bold ideas into real‑world impact. As a data‑centric organization, we invest heavily in modern data platforms, cloud‑native architectures, and AI‑driven insights that power everything from personalized recommendations to real‑time inventory management. Joining careerzynith means becoming part of a forward‑thinking community where your work directly influences the experiences of shoppers worldwide.
Role Overview
We are seeking a meticulous and technically adept Data Entry Specialist to join our Supported Hunt Information group. This team is responsible for designing, building, and maintaining robust data pipelines, datasets, and ETL processes that power careerzynith’s advertising platform. The role is fully remote, offering both day and night shift options to accommodate a flexible work‑life balance. As a key member of the data engineering ecosystem, you will ensure data quality, accessibility, and reliability for analytics and reporting teams that serve internal stakeholders and external partners.
Key Responsibilities
- Design, develop, and maintain scalable, high‑performance data pipelines that ingest, transform, and store massive volumes of structured and unstructured data.
- Collaborate with cross‑functional teams—including product, analytics, QA, and partner operations—to define data requirements and ensure seamless data flow across the ecosystem.
- Implement and optimize ETL workflows using Apache Airflow, ensuring reliability, fault tolerance, and timely data delivery.
- Work with cloud platforms such as Microsoft Azure and Google Cloud Platform (GCP) to provision storage, compute, and networking resources for data processing.
- Develop containerized applications with Docker and orchestrate them using Kubernetes to achieve consistent deployments across development, staging, and production environments.
- Maintain and tune relational databases (e.g., Microsoft SQL Server) and NoSQL stores (e.g., Cassandra) for optimal query performance and scalability.
- Integrate real‑time streaming data using Apache Kafka, ensuring low‑latency ingestion for time‑sensitive advertising analytics.
- Apply best practices in data modeling, partitioning, and indexing to support high‑throughput workloads and rapid data retrieval.
- Participate in on‑call rotations and incident response, providing rapid resolution for data pipeline failures and performance bottlenecks.
- Document data lineage, pipeline architecture, and operational procedures to promote knowledge sharing and compliance.
Essential Qualifications
- Proven experience in data engineering concepts, including data pipeline design, dataset architecture, and ETL processes.
- Strong command of SQL and hands‑on experience with relational databases such as Microsoft SQL Server.
- Familiarity with NoSQL technologies, particularly Cassandra, and the ability to design schemas for high‑availability workloads.
- Hands‑on experience with Apache Airflow (or similar workflow orchestration tools) for building reliable ETL pipelines.
- Solid programming skills in Python and/or Scala, with the ability to write clean, maintainable code for data transformations.
- Experience working with streaming platforms like Apache Kafka for real‑time data ingestion.
- Demonstrated ability to containerize applications using Docker and manage deployments with Kubernetes.
- Exposure to cloud services on Azure and GCP, including storage (Blob, Cloud Storage), compute (VMs, Kubernetes Engine), and data services (BigQuery, Azure Synapse).
- Excellent verbal and written communication skills, capable of presenting technical concepts to both technical and non‑technical audiences.
- Self‑driven mindset with a strong sense of ownership, accountability, and a commitment to delivering high‑quality results.
Preferred Qualifications
- Experience with Hadoop ecosystem tools such as Hive, Spark, or Presto for large‑scale data processing.
- Knowledge of data warehousing concepts and hands‑on experience with cloud‑native warehouses like Snowflake or Redshift.
- Familiarity with CI/CD pipelines (Jenkins, GitLab CI) and infrastructure‑as‑code tools (Terraform, ARM templates).
- Background in advertising technology, e‑commerce analytics, or similar high‑velocity data domains.
- Professional certifications in cloud platforms (Azure Administrator, Google Cloud Professional Data Engineer).
- Experience mentoring junior engineers or leading small technical initiatives.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex data problems, identify root causes, and propose efficient solutions.
- Collaboration: Comfortable working in agile scrum teams, partnering with product owners, data scientists, and operations engineers.
- Problem‑Solving: Proactive in troubleshooting pipeline failures, performance degradation, and data quality issues.
- Adaptability: Thrive in a fast‑changing environment, quickly learning new technologies and applying them to real‑world challenges.
- Attention to Detail: Meticulous data entry and validation to ensure the highest standards of data integrity.
- Customer‑Centric Mindset: Understanding how data impacts downstream business decisions and ultimately the end‑user experience.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Data Entry Specialist, you will have access to:
- Mentorship programs with senior data architects and cloud engineers.
- Annual learning budgets for certifications, conferences, and online courses.
- Opportunities to transition into senior data engineering, data science, or product management roles as you broaden your skill set.
- Cross‑functional projects that expose you to the full data lifecycle—from ingestion to visualization.
- Regular hackathons and innovation sprints where you can prototype new ideas and showcase your creativity.
Work Environment & Culture at careerzynith
Our remote‑first philosophy empowers you to work from anywhere while staying deeply connected to the team. careerzynith fosters an inclusive, collaborative culture where diverse perspectives are celebrated. Key cultural pillars include:
- Innovation: We encourage experimentation and reward bold thinking.
- Transparency: Open communication channels and regular town‑hall meetings keep everyone aligned.
- Well‑Being: Flexible schedules, mental‑health resources, and a supportive community ensure a healthy work‑life balance.
- Community Impact: Employees participate in volunteer initiatives that give back to local communities.
- Recognition: Peer‑to‑peer recognition programs celebrate achievements and milestones.
Compensation, Benefits & Perks
- Competitive base salary with performance‑based bonuses.
- Comprehensive health, dental, and vision coverage for you and your dependents.
- Retirement savings plan with company matching contributions.
- Generous paid time off, holidays, and parental leave.
- Remote work stipend for home office setup, high‑speed internet, and ergonomic accessories.
- Access to cutting‑edge technology, cloud credits, and development tools.
- Employee assistance programs, wellness apps, and virtual fitness classes.
- Professional development budget and tuition reimbursement.
How to Apply
If you are passionate about building resilient data pipelines, love working with cloud technologies, and thrive in a collaborative remote environment, we want to hear from you. Please submit your resume, a cover letter highlighting your most relevant experience, and any portfolio or GitHub links that demonstrate your data engineering work.
Join careerzynith Today!
At careerzynith, every line of code you write has the potential to shape the shopping experience of millions. Whether you are just starting your career or looking to take the next big step, this role offers the perfect blend of technical challenge, growth potential, and meaningful impact. Take the leap, bring your expertise, and help us redefine the future of retail technology. Apply now and become part of a team that turns data into action.