About careerzynith – Pioneering Customer Insight Solutions
careerzynith is a global leader in delivering world‑class customer experiences. With millions of surveys collected each year across consumer, business, and service‑provider segments, careerzynith transforms raw feedback into actionable intelligence that drives strategic decisions. Our culture is built on integrity, collaboration, and a relentless focus on making every employee feel seen, heard, and valued. As we continue to expand our data‑driven capabilities, we are looking for passionate professionals to join our dynamic team and help shape the future of voice‑of‑customer (VoC) analytics.
Why This Role Matters
The Senior Voice‑of‑Customer Data Engineer will be at the heart of careerzynith’s transformation journey. You will design, build, and maintain robust data pipelines and analytical models that power our VoC platform, enabling product owners, business stakeholders, and technology partners to derive deep insights from survey data collected in over 20 countries and translated into more than 10 languages.
Key Responsibilities
- Collaborate with cross‑functional teams – Work closely with product managers, data scientists, and engineering squads to translate business requirements into scalable technical solutions.
- Data platform development – Design, implement, and optimize data models on the careerzynith data lake, ensuring high‑quality, reliable, and performant data for VoC analytics.
- Advanced analytics enablement – Enable batch and real‑time analytics using Hadoop, HDFS, MapReduce, Hive, Spark, and Python to deliver timely insights to business users.
- Automation and tooling – Build and maintain automation scripts (Shell, Python) for data ingestion, transformation, and quality checks, reducing manual effort and increasing efficiency.
- Quality assurance – Conduct rigorous testing, validation, and monitoring of data pipelines to guarantee accuracy, consistency, and compliance with governance standards.
- Performance tuning – Identify bottlenecks, optimize query performance, and implement best practices for large‑scale data processing.
- Documentation and knowledge sharing – Create clear documentation, data dictionaries, and runbooks; mentor junior engineers and contribute to a culture of continuous learning.
- Agile delivery – Participate in Scrum ceremonies, deliver incremental value in short sprints, and adapt quickly to evolving priorities.
Essential Qualifications
- 3+ years of hands‑on experience with big‑data technologies such as Hive, Hadoop, Spark, and Python.
- Proven ability to design and implement data pipelines that handle high‑volume, multi‑language survey data.
- Strong understanding of data modeling, ETL processes, and data warehousing concepts.
- Experience with shell scripting and automation tools for data quality and orchestration.
- Demonstrated success working in Agile environments, delivering incremental product improvements.
- Excellent communication skills, with the ability to translate complex technical concepts into business‑friendly language.
- Self‑motivated, collaborative mindset and a passion for turning raw data into strategic insights.
Preferred Qualifications
- Advanced degree in Computer Science, Data Engineering, Statistics, or a related field.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Familiarity with survey platforms and VoC methodologies.
- Knowledge of machine‑learning pipelines and statistical modeling.
- Certifications in big‑data technologies or Agile project management.
Core Skills & Competencies
- Technical expertise: Hadoop ecosystem, Spark, Hive, Python, SQL, Shell scripting.
- Analytical thinking: Ability to dissect large datasets, identify patterns, and propose data‑driven solutions.
- Collaboration: Strong partnership skills with product, design, and business teams.
- Problem‑solving: Proactive in identifying issues, automating resolutions, and improving processes.
- Adaptability: Comfortable navigating a fast‑paced, evolving environment.
- Communication: Clear written and verbal articulation of technical concepts to non‑technical audiences.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. As a Senior Data Engineer, you will have access to:
- Continuous learning budgets for certifications, conferences, and online courses.
- Mentorship programs pairing you with senior leaders in data science and product strategy.
- Opportunities to lead high‑impact projects that influence global product roadmaps.
- Cross‑functional rotations to broaden your expertise across analytics, engineering, and business domains.
Work Environment & Culture
Our remote‑first philosophy empowers you to work from anywhere while staying connected through virtual collaboration tools. careerzynith fosters an inclusive culture where diversity of thought is celebrated, and every voice contributes to our collective success. We prioritize:
- Transparent communication and regular feedback loops.
- Work‑life balance with flexible schedules and hybrid options.
- Employee well‑being programs, including mental‑health resources and wellness apps.
- Community initiatives that encourage volunteering and social impact.
Compensation, Perks & Benefits
- Competitive base salary of $35 per hour, with performance‑based bonuses.
- Comprehensive health, dental, and vision coverage for you and your dependents.
- Retirement savings plans with company matching contributions.
- Generous paid parental leave and family‑care policies.
- Access to virtual health clinics staffed by medical professionals.
- Confidential counseling services via our wellness platform.
- Paid time off, holidays, and flexible vacation policies.
- Employee assistance programs, including financial planning and legal advice.
How to Apply
If you are ready to leverage your data engineering expertise to shape the future of customer insight at careerzynith, we want to hear from you. Join a team where your contributions are recognized, your growth is supported, and your work makes a tangible impact on millions of customers worldwide.
and become part of careerzynith’s mission to deliver exceptional, data‑driven experiences.