About careerzynith
careerzynith is a global leader in financial services and customer experience innovation. With millions of interactions every year, we empower businesses to listen, learn, and act on the voice of the customer. Our culture is built on integrity, inclusion, and a relentless commitment to delivering first‑class experiences. At careerzynith, every employee is seen, heard, and valued, and together we shape the future of how the world engages with financial services.
Why This Role Matters
Our Voice‑of‑Customer (VoC) program captures real‑time feedback from consumers, businesses, and service providers across more than 20 countries and in over 10 languages. The insights derived from this data drive strategic decisions, product enhancements, and operational excellence. As a Senior Voice‑of‑Customer Data Engineer, you will be at the heart of this transformation, designing robust data pipelines, building scalable analytics solutions, and ensuring the highest standards of data quality and integrity.
Key Responsibilities
- Data Architecture & Modeling: Design, develop, and maintain data models that support VoC analytics, ensuring they are optimized for both batch and real‑time processing.
- Pipeline Development: Build end‑to‑end data ingestion pipelines using Hadoop, HDFS, Spark, Hive, and Python to collect survey responses, chat transcripts, and other customer interaction data.
- Collaboration with Product & Engineering Teams: Partner closely with product owners, business analysts, and agile development squads to translate functional requirements into technical deliverables.
- Data Quality & Governance: Implement rigorous testing, validation, and monitoring frameworks to guarantee data accuracy, completeness, and compliance with privacy regulations.
- Analytics Enablement: Enable self‑service analytics by creating curated data sets, dashboards, and metric definitions that empower stakeholders to derive actionable insights.
- Performance Optimization: Continuously tune data processing jobs for speed and cost‑efficiency, leveraging Spark, Hive, and advanced SQL techniques.
- Automation & Tooling: Develop automation scripts (Python, Shell) to streamline repetitive tasks, reduce manual effort, and improve operational efficiency.
- Agile Delivery: Participate in sprint planning, daily stand‑ups, and retrospectives, delivering incremental value in short, iterative cycles.
- Mentorship & Knowledge Sharing: Coach junior engineers on best practices in big‑data technologies, data modeling, and agile methodologies.
- Cross‑Functional Reporting: Produce clear, concise reports for senior leadership that highlight trends, anomalies, and opportunities uncovered from VoC data.
Essential Qualifications
- Minimum 3 years of hands‑on experience with Hadoop ecosystem tools (HDFS, Hive, Spark, MapReduce).
- Proficiency in Python and PySpark for data processing and analytics.
- Strong command of SQL and experience building complex queries for data extraction and transformation.
- Experience with shell scripting (Bash, PowerShell) to automate workflows.
- Demonstrated ability to design and implement scalable data pipelines in a cloud or on‑premise environment.
- Solid understanding of data warehousing concepts, dimensional modeling, and data governance.
- Excellent problem‑solving skills with a focus on delivering high‑quality, reliable solutions.
- Effective communication skills, both written and verbal, to interact with technical and non‑technical stakeholders.
- Experience working in an Agile development environment, delivering incremental value each sprint.
Preferred Qualifications
- Experience with survey platforms or customer feedback tools (e.g., careerzynith’s own survey solution).
- Knowledge of data visualization tools such as Tableau, Power BI, or Looker.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Background in statistical analysis or machine learning to enrich VoC insights.
- Certification in cloud platforms (AWS, Azure, GCP) or big‑data technologies.
- Previous work in a remote or distributed team environment.
Core Skills & Competencies
- Technical Acumen: Deep expertise in big‑data processing, data modeling, and programming.
- Analytical Mindset: Ability to interpret complex data sets and translate findings into business‑ready recommendations.
- Collaboration: Strong team player who thrives in cross‑functional settings and values diverse perspectives.
- Adaptability: Comfortable navigating fast‑changing priorities and evolving technology landscapes.
- Customer‑Centric Focus: Passion for improving the customer experience through data‑driven insights.
- Integrity & Accountability: Commitment to ethical data handling and transparent reporting.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its people. In this role, you will have access to:
- Mentorship from senior data architects and industry experts.
- Sponsored certifications and training programs in cloud, big‑data, and analytics.
- Opportunities to lead high‑visibility projects that directly impact global business strategy.
- Rotational assignments across different business units to broaden your skill set.
- A clear career ladder from Senior Engineer to Lead Architect, Data Science Manager, and beyond.
Compensation, Perks & Benefits
careerzynith offers a competitive compensation package that includes:
- Base hourly rate of $35 per hour, with performance‑based bonuses.
- Comprehensive health, dental, and vision coverage for you and your family.
- Retirement savings plans with company matching contributions.
- Generous paid parental leave and flexible paid time off policies.
- Remote‑first work model with optional hybrid or onsite options based on role and preference.
- Access to a global employee assistance program, including confidential counseling and wellness resources.
- Virtual on‑site health clinics staffed by medical professionals (where available).
- Continuous learning stipend for books, courses, and conferences.
Work Environment & Culture at careerzynith
Our culture is built on three pillars: Integrity, Inclusion, and Innovation. We foster an environment where:
- Every voice is respected, and diverse perspectives drive better outcomes.
- Collaboration happens across borders, leveraging the strengths of a global talent pool.
- Employees are encouraged to experiment, fail fast, and iterate toward excellence.
- Well‑being is a priority—mental, physical, and financial health resources are readily available.
- Recognition programs celebrate both individual achievements and team successes.
How to Apply
If you are passionate about turning raw customer feedback into strategic advantage and thrive in a dynamic, data‑rich environment, we want to hear from you. Click the link below to submit your application, and be prepared to showcase your technical expertise, problem‑solving abilities, and collaborative spirit.
Apply Now – Join careerzynith
Closing Statement
careerzynith is more than a workplace; it’s a community of innovators dedicated to shaping the future of customer experience. By joining our team, you will play a pivotal role in delivering insights that matter, while growing your career in a supportive, forward‑thinking environment. Take the next step in your professional journey—apply today and help us amplify the voice of the customer worldwide.