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About careerzynith – Pioneering the Future of Customer Experience
careerzynith is a global leader in financial services and digital innovation, dedicated to delivering the world’s most trusted and seamless customer experiences. With millions of interactions every year across consumer, business, and service‑provider segments, careerzynith continuously transforms data into actionable insights that empower both customers and partners. Our culture is built on integrity, inclusion, and a relentless pursuit of excellence—where every voice is heard, every contribution matters, and every employee belongs.
Role Overview – Senior Data Analytics & Voice‑of‑Customer Engineer
We are seeking a highly skilled Senior Data Analytics & Voice‑of‑Customer Engineer to join our Remote Live‑Chat team. In this role, you will partner with product owners, data scientists, and agile technology squads to design, build, and maintain the data pipelines and analytical frameworks that power careerzynith’s Voice‑of‑Customer (VoC) platform. Your work will directly influence how millions of customers are heard, how their feedback is turned into strategic action, and how careerzynith stays ahead of market trends.
Key Responsibilities
- Collaborate with business stakeholders to gather, translate, and prioritize VoC requirements into technical specifications.
- Design and implement robust data models on the careerzynith data lake, ensuring high‑quality, scalable, and secure storage of survey and interaction data.
- Develop end‑to‑end pipelines using Hadoop, HDFS, Spark, Hive, and Python to ingest, transform, and enrich raw VoC data.
- Build and maintain real‑time analytics dashboards that surface actionable insights for product, marketing, and operations teams.
- Optimize batch and streaming processes to reduce latency, improve throughput, and guarantee data accuracy.
- Lead testing and validation efforts through rigorous unit, integration, and performance testing to uphold data integrity.
- Automate repetitive tasks with shell scripting, Airflow, or similar orchestration tools to increase efficiency and reduce manual effort.
- Mentor junior engineers and share best practices around big‑data technologies, agile delivery, and data governance.
- Partner with the careerzynith analytics community to drive continuous improvement, knowledge sharing, and innovation across the organization.
- Stay current with emerging technologies and recommend enhancements that keep careerzynith at the forefront of data‑driven decision making.
Essential Qualifications
- Minimum 3+ years of hands‑on experience with Hadoop ecosystem tools (Hive, HDFS, MapReduce) and Spark/PySpark.
- Proficiency in Python for data processing, scripting, and automation.
- Strong command of SQL and experience designing relational and dimensional data models.
- Demonstrated ability to build and maintain large‑scale data pipelines in a production environment.
- Experience with real‑time streaming technologies (e.g., Kafka, Flink) is a plus.
- Solid understanding of agile methodologies, including Scrum and Kanban, with a track record of delivering incremental value.
- Excellent problem‑solving skills and the ability to troubleshoot complex data issues quickly.
- Strong communication skills, capable of translating technical concepts to non‑technical stakeholders.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (or equivalent practical experience).
Preferred Qualifications & Additional Skills
- Experience with Qualtrics (replaced with careerzynith) survey platforms or similar VoC tools.
- Familiarity with cloud data services (AWS EMR, Azure HDInsight, Google Cloud Dataproc).
- Knowledge of data governance, security, and compliance frameworks (GDPR, CCPA).
- Exposure to machine‑learning pipelines and model deployment.
- Certification in data engineering or big‑data technologies (e.g., Cloudera, Hortonworks).
- Previous work in a remote or distributed team environment.
Core Skills & Competencies
- Analytical mindset: Ability to interpret large data sets and extract meaningful patterns.
- Collaboration: Works effectively with cross‑functional teams, product owners, and senior leadership.
- Adaptability: Thrives in a fast‑changing environment and embraces continuous learning.
- Attention to detail: Ensures data quality, accuracy, and consistency across all pipelines.
- Customer‑centric focus: Keeps the end‑user experience at the heart of every technical decision.
Career Growth & Learning Opportunities
At careerzynith, your career trajectory is shaped by your ambition. As a Senior Data Analytics Engineer, you will have access to:
- Mentorship from industry‑leading data scientists and architects.
- Sponsored certifications and tuition reimbursement for advanced degrees.
- Opportunities to lead high‑visibility projects that influence global strategy.
- Rotational programs that allow you to explore data engineering, analytics, product management, and more.
- Regular hackathons and innovation days to showcase creative solutions.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that reflects the value you bring:
- Base salary aligned with market rates for senior data engineers.
- Performance‑based bonuses tied to project milestones and business impact.
- Comprehensive health coverage including medical, dental, and vision plans.
- Retirement savings with company matching contributions.
- Flexible work arrangements – fully remote, hybrid, or on‑site options based on role and preference.
- Generous paid parental leave and family‑support programs.
- Well‑being resources such as virtual fitness classes, mental‑health counseling, and an on‑demand health portal.
- Paid time off and holiday calendars that promote work‑life balance.
- Employee assistance program offering confidential counseling and support services.
Work Environment & Culture at careerzynith
Our culture is built on four pillars:
- Integrity: We act with honesty and transparency in every interaction.
- Inclusion: Diverse perspectives are celebrated; every employee feels seen and heard.
- Innovation: We encourage curiosity, experimentation, and bold ideas.
- Collaboration: Teams work together across borders, time zones, and disciplines to achieve shared goals.
Whether you are joining from the Central African Republic or any other location, you will be part of a supportive community that values continuous learning, personal growth, and the collective success of the organization.
How to Apply
If you are ready to shape the future of customer experience, drive data‑powered decisions, and grow your career with careerzynith, we want to hear from you. Click the link below to submit your application and become part of a team that listens, learns, and leads.
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