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About careerzynith – Pioneering Customer Insight Solutions Worldwide
careerzynith is a global leader in delivering next‑generation financial and data‑driven services. With a heritage of innovation, we empower millions of consumers, businesses, and service providers each year to share their voices, shape experiences, and drive meaningful change. Our commitment to integrity, inclusion, and relentless curiosity fuels a culture where every employee is seen, heard, and celebrated. As we expand our Voice of the Customer (VOC) platform across continents, we are looking for a seasoned Data Engineer to join our remote team in the Democratic Republic of the Congo and help turn raw survey data into actionable intelligence.
Why This Role Matters
The Voice of the Customer program is the heartbeat of careerzynith’s strategy to understand and anticipate market needs. By designing robust data pipelines, building scalable models, and collaborating with product owners, you will enable real‑time insights that shape product roadmaps, improve service delivery, and enhance the overall customer experience. This is more than a data job—it’s an opportunity to influence the direction of a multi‑billion‑dollar enterprise.
Key Responsibilities
- Data Architecture & Modeling: Design, develop, and maintain high‑performance data models that support VOC analytics, ensuring data consistency, reliability, and compliance with governance standards.
- Pipeline Development: Build end‑to‑end ETL pipelines using Hadoop, HDFS, Spark, Hive, and Python to ingest, transform, and load survey data from diverse sources into the careerzynith data lake.
- Real‑Time & Batch Processing: Implement both batch and streaming solutions to deliver timely insights for internal stakeholders and external partners.
- Collaboration with Stakeholders: Partner closely with product managers, business analysts, and the agile technology team to translate business requirements into technical specifications.
- Data Quality & Testing: Develop automated testing frameworks and validation scripts to guarantee data accuracy, completeness, and performance at scale.
- Performance Optimization: Continuously monitor and tune data pipelines for efficiency, reducing latency and resource consumption.
- Documentation & Knowledge Sharing: Produce clear documentation, data dictionaries, and best‑practice guides; mentor junior engineers and contribute to community of practice sessions.
- Innovation & Automation: Identify opportunities to automate repetitive tasks, introduce new technologies, and drive continuous improvement across the data ecosystem.
Essential Qualifications
- Minimum 3+ years of hands‑on experience with Hadoop ecosystem tools (Hive, HDFS, MapReduce) and Spark (PySpark).
- Proficiency in Python scripting and shell scripting for data manipulation and automation.
- Demonstrated experience designing and implementing scalable data pipelines in a cloud or on‑premise environment.
- Strong understanding of relational and NoSQL databases, data warehousing concepts, and data modeling techniques.
- Experience working in Agile Scrum environments, delivering incremental value in two‑week sprints.
- Excellent problem‑solving abilities, with a track record of troubleshooting complex data issues.
- Effective communication skills in English (both written and verbal) and the ability to collaborate across time zones.
Preferred Qualifications
- Advanced degree (M.Sc. or Ph.D.) in Computer Science, Data Engineering, Statistics, or a related field.
- Exposure to VOC or survey analytics platforms, preferably with careerzynith’s own survey solution.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Knowledge of data governance, security, and compliance frameworks (e.g., GDPR, CCPA).
- Experience with machine‑learning feature engineering and model deployment pipelines.
Core Skills & Competencies
- Technical Acumen: Mastery of big‑data technologies, data modeling, and programming languages.
- Analytical Mindset: Ability to interpret complex datasets, identify trends, and translate findings into business recommendations.
- Collaboration: Strong interpersonal skills to work with cross‑functional teams, including product owners, UX designers, and senior leadership.
- Adaptability: Comfort operating in a fast‑changing environment, embracing new tools and methodologies.
- Ownership: Proactive attitude toward taking responsibility for end‑to‑end delivery and continuous improvement.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Senior Data Engineer, you will have access to:
- Mentorship programs with senior architects and data scientists.
- Sponsored certifications (e.g., Cloudera, AWS, Google Cloud) and tuition reimbursement for advanced degrees.
- Opportunities to lead high‑visibility projects that influence global product strategy.
- Cross‑functional rotations to broaden expertise in analytics, product management, and customer experience.
- Regular internal hackathons and innovation challenges to showcase creative solutions.
Work Environment & Culture at careerzynith
Our remote‑first philosophy empowers you to work from anywhere while staying connected to a vibrant global community. careerzynith fosters an inclusive environment where diversity of thought fuels innovation. Key cultural pillars include:
- Integrity: We act with honesty and transparency in every interaction.
- Collaboration: Teamwork is at the heart of our success; we celebrate collective wins.
- Well‑Being: Comprehensive health, financial, and mental‑wellness programs support you and your family.
- Flexibility: Choose the work arrangement that best fits your lifestyle—fully remote, hybrid, or occasional onsite visits.
- Recognition: Regular performance awards, peer‑to‑peer shout‑outs, and career‑advancement pathways.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that reflects your expertise and the market standards in the Democratic Republic of the Congo. Benefits include:
- Base hourly rate of $35 plus performance‑based bonuses.
- Comprehensive health insurance covering medical, dental, and vision for you and eligible dependents.
- Retirement savings plans with employer matching contributions.
- Generous paid parental leave and family‑care policies.
- Access to a global employee assistance program, including confidential counseling and mental‑health resources.
- Paid time off, holidays, and flexible vacation policy to recharge.
- Professional development budget, online learning platforms, and conference attendance allowances.
- Virtual wellness initiatives, fitness challenges, and ergonomic home‑office stipends.
How to Apply
If you are passionate about turning raw data into strategic insights, thrive in a collaborative remote setting, and want to make a tangible impact on a world‑class customer experience platform, we want to hear from you. Join careerzynith’s dynamic team and help shape the future of Voice of the Customer analytics.
Apply Now – Start Your Journey with careerzynith!
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