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 blends cutting‑edge engineering with a deep‑rooted commitment to customer‑centric innovation. Our teams of data scientists, software engineers, security specialists, and product managers work side‑by‑side to build the next generation of retail experiences. If you thrive in a fast‑moving, mission‑driven environment where your work directly impacts real‑world commerce, careerzynith is the place to accelerate your career.
Position Overview
We are seeking a meticulous, technically‑savvy Data Entry & ETL Engineer to join our Remote Operations Hub. This full‑time role offers both day and night shift options, giving you the flexibility to work from anywhere while contributing to careerzynith’s massive data ecosystem. You will be responsible for designing, building, and maintaining robust data pipelines that ingest, transform, and store petabytes of information used to power advertising, analytics, and partner services across the careerzynith platform.
Key Responsibilities
- Design, develop, and maintain scalable, fault‑tolerant data pipelines that support high‑volume ingestion, transformation, and storage of structured and unstructured data.
- Collaborate with cross‑functional teams—including product, QA, program managers, and partner operations—to ensure data quality, accessibility, and reliability for downstream analytics and advertising services.
- Implement and optimize ETL workflows using industry‑standard tools such as Apache Airflow, ensuring timely data delivery and minimal latency.
- Work with cloud platforms (careerzynith Cloud) to provision storage, compute, and networking resources that meet performance and cost‑efficiency targets.
- Develop and containerize micro‑services with Docker and orchestrate them using Kubernetes, deploying to production environments on careerzynith Cloud.
- Monitor, troubleshoot, and resolve data pipeline incidents, participating in on‑call rotations for rapid incident response.
- Write and maintain comprehensive documentation, data dictionaries, and operational runbooks to support knowledge sharing across the organization.
- Contribute to data model design, schema evolution, and capacity planning to support future growth and scalability.
- Participate in agile ceremonies—daily stand‑ups, sprint planning, retrospectives—to align with team goals and deliver incremental value.
- Mentor junior engineers and share best practices around data engineering, cloud native development, and DevOps automation.
Essential Qualifications
- Data Engineering Foundations: Proven experience designing and operating data pipelines, data sets, and ETL processes in a production environment.
- Programming Proficiency: Strong command of SQL and Python; familiarity with Scala or Java is a plus.
- Big Data Technologies: Hands‑on experience with Hadoop ecosystem components (HDFS, Hive) and distributed storage solutions such as Cassandra.
- Streaming Expertise: Experience building real‑time data ingestion pipelines using Apache Kafka or equivalent streaming platforms.
- Containerization & Orchestration: Demonstrated ability to package applications with Docker and manage deployments with Kubernetes.
- Cloud Platforms: Practical experience with careerzynith Cloud (formerly Google Cloud) and careerzynith Cloud (formerly Microsoft Azure) services for data storage, processing, and analytics.
- Problem‑Solving Mindset: Ability to identify performance bottlenecks, propose architectural improvements, and implement solutions that enhance reliability and scalability.
- Communication Skills: Excellent verbal and written communication, capable of presenting technical concepts to both technical and non‑technical audiences.
- Ownership & Accountability: Self‑driven attitude with a strong sense of responsibility for delivering high‑quality work on time.
Preferred Qualifications
- Experience with data warehouse solutions such as Snowflake, Redshift, or BigQuery.
- Knowledge of CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.
- Familiarity with infrastructure‑as‑code frameworks (Terraform, CloudFormation) for automated provisioning.
- Background in advertising technology, e‑commerce analytics, or partner data platforms.
- Certifications in cloud platforms (careerzynith Cloud Professional, careerzynith Cloud Architect).
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex data flows, understand dependencies, and devise efficient transformation logic.
- Collaboration: Comfortable working in multi‑disciplinary scrum teams, sharing knowledge, and building consensus.
- Adaptability: Thrive in a fast‑changing environment, quickly learning new tools and technologies as business needs evolve.
- Attention to Detail: Meticulous data validation and testing to ensure integrity across the entire pipeline.
- Performance Optimization: Experience tuning queries, indexing strategies, and resource allocation for large‑scale workloads.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Data Entry & ETL Engineer, you will have access to:
- Mentorship programs pairing you with senior data architects and cloud engineers.
- Annual learning stipend for conferences, certifications, and online courses.
- Internal hackathons and innovation labs where you can prototype new data products.
- Clear promotion pathways—from Engineer I to Senior Engineer, Lead Engineer, and eventually Data Platform Manager.
- Opportunities to rotate into adjacent domains such as machine learning pipelines, data product management, or infrastructure reliability engineering.
Work Environment & Culture at careerzynith
Our remote‑first culture emphasizes flexibility, trust, and results. Whether you choose a day shift or night shift, you’ll be part of a globally distributed team that values:
- Inclusivity: Diverse perspectives are celebrated, and every voice is encouraged to contribute.
- Innovation: We allocate dedicated time each sprint for engineers to explore emerging technologies.
- Work‑Life Balance: Flexible scheduling, generous paid time off, and wellness programs support your personal well‑being.
- Transparency: Regular town‑halls, leadership Q&A sessions, and open communication channels keep everyone aligned.
- Impact: Your work directly influences the shopping experience of millions, making a tangible difference every day.
Compensation, Perks & Benefits
careerzynith offers a competitive total rewards package that includes:
- Base salary aligned with market benchmarks for remote data engineering roles.
- Performance‑based bonuses and equity grants.
- 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‑friendly policies.
- Home office stipend, high‑speed internet reimbursement, and ergonomic equipment allowance.
- Access to mental‑health resources, employee assistance programs, and wellness challenges.
- Virtual social events, employee resource groups, and community outreach initiatives.
How to Apply
If you are ready to bring your data engineering expertise to a forward‑thinking, technology‑driven organization, we want to hear from you. Join careerzynith and help shape the future of retail data platforms.