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About careerzynith – Pioneering Customer Insight Innovation
careerzynith is a global leader in delivering world‑class financial services and cutting‑edge data solutions. With a heritage of more than a century of trusted relationships, careerzynith empowers millions of consumers, businesses, and partners every day through innovative technology, data‑driven decision making, and an unwavering commitment to integrity. Our mission is to turn every interaction into a meaningful experience, and we do that by listening to the voice of the customer (VOC) at scale. As part of our continuous growth, careerzynith is expanding its analytics engine to harness massive survey data, translate insights across languages, and drive actionable outcomes for the entire organization.
Why This Role Matters
In today’s hyper‑connected world, the ability to capture, analyze, and act on customer sentiment is a competitive advantage. The Senior Data Engineer – Voice of Customer Analytics will be at the heart of this transformation, shaping the data architecture that powers careerzynith’s VOC platform. This is a unique opportunity to work on high‑impact projects, collaborate with product owners, and influence the strategic direction of a multi‑billion‑dollar enterprise.
Role Overview
As a senior member of the Data Engineering team, you will design, build, and maintain robust data pipelines that ingest, process, and surface survey data from more than 20 countries and 10 languages. You will partner closely with business analysts, product managers, and agile delivery squads to translate business requirements into scalable technical solutions. Your work will enable real‑time analytics, advanced reporting, and predictive modeling that drive better customer experiences across careerzynith.
Key Responsibilities
- Data Architecture & Modeling: Design and implement end‑to‑end data models that support VOC analytics, ensuring high performance, reliability, and compliance with data governance standards.
- Pipeline Development: Build and maintain scalable ETL/ELT pipelines using Hadoop, HDFS, Spark, Hive, and Python to ingest survey responses, metadata, and related transactional data.
- Real‑Time & Batch Processing: Enable both batch and streaming analytics, delivering near‑real‑time insights to business stakeholders through dashboards and APIs.
- Collaboration: Work hand‑in‑hand with product owners, business analysts, and agile squads to gather requirements, refine user stories, and deliver incremental value every sprint.
- Data Quality & Testing: Develop automated testing frameworks, data validation rules, and monitoring alerts to guarantee data accuracy and integrity across all environments.
- Performance Optimization: Tune Hadoop clusters, Spark jobs, and Hive queries for optimal resource utilization and cost efficiency.
- Documentation & Knowledge Sharing: Produce clear technical documentation, data dictionaries, and best‑practice guides; mentor junior engineers and foster a culture of continuous learning.
- Innovation & Automation: Identify opportunities to automate repetitive tasks, streamline workflows, and introduce emerging technologies that enhance the VOC platform.
- Compliance & Security: Ensure all data handling complies with GDPR, CCPA, and internal security policies, safeguarding customer privacy at every step.
Essential Qualifications
- Minimum 3+ years of hands‑on experience with big‑data technologies such as Hadoop, HDFS, Hive, Spark, and Python (PySpark).
- Proficiency in shell scripting (Bash, PowerShell) and workflow orchestration tools (e.g., Airflow, Oozie).
- Strong understanding of data modeling concepts, relational and NoSQL databases, and data warehousing principles.
- Demonstrated experience building production‑grade data pipelines that handle high‑volume, multi‑language survey data.
- Solid grasp of Agile delivery methodologies, including Scrum and Kanban, with a track record of delivering incremental value in fast‑paced environments.
- Excellent problem‑solving abilities, with a data‑first mindset and a passion for turning raw data into actionable insights.
- Effective communication skills—able to translate complex technical concepts into clear business language for non‑technical stakeholders.
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Familiarity with survey platforms and VOC tools, especially those previously hosted on careerzynith’s survey ecosystem.
- Knowledge of machine‑learning pipelines and statistical analysis tools (e.g., R, SAS, TensorFlow).
- Certifications in data engineering, cloud architecture, or Agile project management.
Core Skills & Competencies
- Technical Acumen: Mastery of big‑data ecosystems, data ingestion frameworks, and programming languages required for large‑scale analytics.
- Analytical Thinking: Ability to dissect complex data problems, identify root causes, and propose elegant, scalable solutions.
- Collaboration: Proven teamwork with cross‑functional groups, including product, design, and business intelligence.
- Adaptability: Comfort working in a dynamic, remote environment while managing shifting priorities and tight deadlines.
- Customer‑Centric Mindset: A genuine interest in understanding and improving the customer journey through data‑driven insights.
Compensation, Perks & Benefits
careerzynith offers a competitive base salary of $35 per hour, complemented by performance‑based bonuses and a comprehensive benefits package that includes:
- Health, dental, and vision coverage with access to on‑site wellness centers staffed by medical professionals (where available).
- Generous paid parental leave and flexible paid time off policies to support work‑life balance.
- Retirement savings plans with company matching contributions.
- Continuous learning stipend, tuition reimbursement, and access to internal training academies.
- Hybrid work model – choose between fully remote, on‑site, or a blend that fits your role and personal preferences.
- Employee assistance programs offering confidential counseling and mental‑health resources.
- Opportunities to participate in global innovation challenges, hackathons, and community outreach initiatives.
Career Growth & Development
At careerzynith, your career trajectory is shaped by your ambition. As a senior data engineer, you will have pathways to:
- Lead a data engineering squad, overseeing end‑to‑end delivery of critical analytics platforms.
- Transition into data architecture, influencing enterprise‑wide data strategy and governance.
- Expand into product management or analytics leadership, bridging the gap between technology and business outcomes.
- Engage with global research teams, contributing to publications and industry conferences on big‑data and VOC analytics.
Work Environment & Culture at careerzynith
careerzynith fosters an inclusive, collaborative, and high‑performance culture where every voice matters. Our remote‑first philosophy ensures that talent from any location can thrive, while our core values—integrity, customer focus, and continuous improvement—guide everyday decisions. Employees enjoy:
- Regular virtual town halls and open‑door sessions with senior leadership.
- Diverse employee resource groups that celebrate cultural, gender, and neuro‑diversity.
- Team‑building activities, virtual coffee chats, and mentorship programs that nurture personal and professional growth.
- A commitment to sustainability and corporate responsibility, with volunteer days and community partnership projects.
How to Apply
If you are passionate about turning massive amounts of customer feedback into strategic advantage, and you thrive in a fast‑moving, data‑centric environment, we want to hear from you. Click the link below to submit your application, attach your resume, and tell us why you’re the perfect fit for careerzynith’s Voice of Customer Analytics team.
Apply Now
Join careerzynith – Shape the Future of Customer Insight
At careerzynith, you will be part of a global community that values curiosity, collaboration, and impact. Your work will directly influence how millions of customers experience our services, making every day an opportunity to innovate and inspire. Take the next step in your career and help us lead the way in data‑driven customer excellence.
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