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About careerzynith – Pioneering the Future of Customer Experience
careerzynith is a world‑renowned leader in financial services and digital commerce, dedicated to delivering the most seamless, secure, and rewarding experiences for millions of consumers and businesses every day. With a heritage of innovation, careerzynith continuously invests in cutting‑edge technology, data‑driven insights, and a culture that celebrates curiosity, collaboration, and inclusion. As the company expands its global footprint, the Voice of Customer (VoC) program has become a strategic pillar, turning every interaction into actionable intelligence that fuels product evolution, service excellence, and brand loyalty.
Why This Role Matters
In today’s hyper‑connected world, the voice of the customer is louder than ever. careerzynith’s VoC team captures, analyzes, and transforms feedback from more than five million surveys each year, spanning retail, business, and service‑provider segments across 20+ countries and 10+ languages. The Senior Voice of Customer Data Engineer you will become a catalyst for this transformation, ensuring that raw feedback is turned into reliable, real‑time insights that drive strategic decisions across the organization.
Role Overview
As a Senior Voice of Customer Data Engineer at careerzynith, you will lead the design, development, and optimization of large‑scale data pipelines and analytics solutions that power the VoC platform. Working closely with product owners, data scientists, and agile delivery teams, you will translate business requirements into robust technical architectures, champion best practices in data engineering, and mentor junior engineers to uphold careerzynith’s standards of excellence.
Key Responsibilities
- Data Architecture & Modeling: Design and implement scalable data models that support both batch and real‑time analytics, ensuring high‑quality, consistent metrics across the VoC ecosystem.
- Pipeline Development: Build, maintain, and optimize end‑to‑end data pipelines using Hadoop, HDFS, Spark, Hive, and Python to ingest, cleanse, and enrich survey data from multiple sources.
- Collaboration with Stakeholders: Partner with product managers, business analysts, and the VoC analytics team to gather requirements, translate them into technical specifications, and deliver incremental value in two‑week sprint cycles.
- Performance Tuning & Testing: Conduct rigorous testing, validation, and performance tuning to guarantee data accuracy, low latency, and reliability for mission‑critical dashboards.
- Automation & Tooling: Develop reusable automation scripts (Shell, Python) and CI/CD pipelines that accelerate deployment, reduce manual effort, and improve operational efficiency.
- Data Governance & Security: Enforce data governance policies, implement access controls, and ensure compliance with global privacy regulations (GDPR, CCPA) throughout the data lifecycle.
- Mentorship & Knowledge Sharing: Coach junior engineers, lead code reviews, and foster a culture of continuous learning and technical excellence within the data engineering community.
- Innovation & Thought Leadership: Stay ahead of emerging technologies, propose innovative solutions, and pilot new tools that can enhance the VoC platform’s capabilities.
Essential Qualifications
- Minimum 3+ years of hands‑on experience with big‑data technologies such as Hadoop, Hive, Spark, and HDFS.
- Proficiency in Python (including PySpark) and shell scripting for data processing and automation.
- Demonstrated experience designing and maintaining large‑scale data pipelines in a production environment.
- Strong understanding of relational and NoSQL databases, data warehousing concepts, and data modeling best practices.
- Experience working in an Agile/Scrum environment, delivering incremental value in short sprint cycles.
- Excellent problem‑solving skills, with the ability to troubleshoot complex data issues and propose effective solutions.
- Strong communication skills, capable of articulating technical concepts to both technical and non‑technical audiences.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
Preferred Qualifications
- Advanced degree (M.S. or Ph.D.) in Data Science, Computer Science, or a related discipline.
- Experience with cloud platforms (AWS, Azure, GCP) and modern data orchestration tools (Airflow, Prefect, Dagster).
- Familiarity with survey platforms and VoC tools, particularly the careerzynith‑hosted survey solution.
- Knowledge of machine‑learning pipelines and the ability to collaborate with data scientists on model deployment.
- Certifications in big‑data technologies (e.g., Cloudera, Hortonworks) or cloud architecture.
Core Skills & Competencies
- Technical Mastery: Deep expertise in data engineering frameworks, ETL processes, and performance optimization.
- Analytical Mindset: Ability to interpret complex data sets, identify patterns, and translate findings into actionable business insights.
- Collaboration: Proven track record of working cross‑functionally with product, analytics, and engineering teams.
- Adaptability: Comfortable navigating a fast‑paced, evolving environment while maintaining high standards of quality.
- Leadership: Experience mentoring peers, fostering inclusive teamwork, and championing best practices.
- Customer‑Centric Focus: Passion for turning customer feedback into tangible improvements that enhance the overall careerzynith experience.
Compensation, Perks & Benefits
careerzynith offers a competitive base salary of $35 per hour, complemented by performance‑based bonuses and a comprehensive benefits package designed to support your well‑being, both at work and at home.
- Health & Wellness: Medical, dental, and vision coverage with access to on‑site health clinics staffed by nurses and physicians (where available).
- Financial Security: Retirement savings plans with company matching contributions, and financial wellness programs.
- Work‑Life Flexibility: Hybrid, on‑site, or fully remote work arrangements tailored to the role and business needs.
- Family Support: Generous paid parental leave policies, childcare assistance, and flexible scheduling.
- Learning & Development: Tuition reimbursement, certification sponsorships, and access to a vast library of online courses.
- Employee Assistance: Confidential counseling services through the careerzynith Well‑Being App.
- Recognition Programs: Regular employee awards, spot bonuses, and opportunities to showcase innovative projects.
Career Growth & Learning Opportunities
At careerzynith, your career trajectory is guided by your ambition and the company’s commitment to continuous improvement. As a Senior Voice of Customer Data Engineer, you will have pathways to:
- Lead a data engineering squad focused on next‑generation analytics.
- Transition into a Data Architecture or Analytics Strategy role.
- Collaborate with global product teams on AI‑driven customer experience initiatives.
- Participate in internal hackathons, innovation labs, and cross‑functional projects.
Work Environment & Culture
careerzynith prides itself on an inclusive, collaborative, and high‑performance culture where every voice matters. Our teams are empowered to experiment, learn from failures, and celebrate successes together. Whether you are joining from Costa Rica, another part of Latin America, or any remote location, you will be part of a diverse community that values integrity, respect, and a shared commitment to delivering world‑class customer experiences.
How to Apply
If you are ready to shape the future of customer insight at a global leader, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you are the perfect fit for this role.
Take the Next Step
Don’t miss the chance to work on impactful data challenges, collaborate with top‑tier talent, and grow your career in a supportive, forward‑thinking environment. Apply today and become a key driver of careerzynith’s Voice of Customer transformation.
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