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About careerzynith – Pioneering Customer‑Centric Innovation
At careerzynith, we believe that every interaction with a customer is an opportunity to learn, improve, and create lasting value. As a global leader in financial services and digital experiences, careerzynith has built a reputation for delivering first‑class consumer experiences across more than 20 countries and in over ten languages. Our commitment to integrity, inclusion, and continuous innovation drives us to empower every employee to contribute meaningfully to the organization’s success. If you thrive in a collaborative, data‑driven environment where your ideas shape the future of customer insight, you have found your next career destination.
Role Overview – Senior Data Engineer (Voice of Customer)
We are seeking a highly skilled Senior Data Engineer to join our Voice of Customer (VOC) analytics team. This remote‑first position (with flexible hybrid options where applicable) offers a competitive rate of $35 per hour and the chance to work on cutting‑edge big‑data technologies that power real‑time decision‑making for careerzynith’s global business units. You will partner closely with product owners, data scientists, and agile delivery teams to design, build, and maintain robust data pipelines that transform raw survey feedback into actionable insights.
Key Responsibilities
- Collaborate with business stakeholders to translate functional requirements into scalable technical solutions.
- Design, develop, and optimize end‑to‑end data pipelines using Hadoop, HDFS, Spark, Hive, and Python to ingest, cleanse, and enrich Voice of Customer data.
- Architect and maintain a high‑performance data lake that supports both batch and real‑time analytics workloads.
- Implement robust data models and schema designs that enable consistent metric definitions across the organization.
- Develop automated testing frameworks to ensure data quality, accuracy, and reliability throughout the ETL process.
- Partner with the analytics and data science teams to deliver dashboards, reports, and predictive models that drive business decisions.
- Lead the integration of external survey platforms (including careerzynith’s proprietary survey system) with internal data platforms.
- Mentor junior engineers, fostering a culture of continuous learning and best‑practice sharing.
- Participate in agile ceremonies, providing technical estimates, sprint planning, and status updates.
- Continuously evaluate emerging big‑data technologies and recommend improvements to enhance performance and scalability.
Essential Qualifications
- Experience: Minimum 3+ years of hands‑on experience building and maintaining data pipelines in Hadoop‑based ecosystems.
- Technical Skills: Proficiency in Spark (PySpark), Hive, HDFS, MapReduce, and Python scripting. Familiarity with shell scripting and workflow orchestration tools (e.g., Airflow, Oozie) is required.
- Data Modeling: Demonstrated ability to design robust data models that support both analytical and operational reporting.
- Agile Methodology: Experience working in Scrum or Kanban environments, delivering incremental value in short sprints.
- Problem‑Solving: Strong analytical mindset with the ability to troubleshoot complex data issues and propose effective solutions.
- Communication: Excellent written and verbal communication skills, capable of translating technical concepts for non‑technical stakeholders.
- Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
Preferred Qualifications
- Experience with cloud data platforms such as AWS (EMR, Redshift), Azure Data Lake, or Google Cloud Platform.
- Knowledge of containerization (Docker, Kubernetes) for deploying data workloads.
- Exposure to machine‑learning pipelines and feature engineering for predictive analytics.
- Previous work on large‑scale survey or voice‑of‑customer programs, especially in a financial services context.
- Certifications in big‑data technologies (e.g., Cloudera, Hortonworks) or agile project management (e.g., Scrum Master).
Core Skills & Competencies
- Data Engineering Expertise: Mastery of ETL/ELT processes, data ingestion, and transformation at scale.
- Programming Acumen: Strong Python coding practices, including unit testing and code reviews.
- Collaboration: Ability to work effectively with cross‑functional teams, including product owners, data scientists, and QA engineers.
- Attention to Detail: Commitment to data integrity, thorough testing, and documentation.
- Innovation Mindset: Proactive in identifying automation opportunities and driving efficiency improvements.
- Customer‑Centric Focus: Understanding of how data insights translate into better customer experiences.
Career Growth & Learning Opportunities
careerzynith invests heavily in the professional development of its employees. As a Senior Data Engineer, you will have access to:
- Continuous learning budgets for certifications, conferences, and online courses.
- Mentorship programs that pair you with senior leaders in data architecture and analytics.
- Opportunities to lead high‑visibility projects that influence global strategy.
- Rotational assignments across different business units, expanding your domain expertise.
- Regular knowledge‑sharing sessions and internal hackathons focused on emerging data technologies.
Compensation, Perks & Benefits
While the base rate for this role is $35 per hour, careerzynith offers a comprehensive total rewards package that includes:
- Competitive Base Salary: Market‑aligned compensation with performance‑based bonuses.
- Health & Wellness: Medical, dental, and vision coverage, plus access to virtual health clinics staffed by qualified professionals.
- Retirement Planning: 401(k) matching contributions and financial wellness resources.
- Flexible Work Arrangements: Remote‑first model with optional hybrid schedules based on role and business needs.
- Generous Paid Time Off: Vacation, sick leave, and parental leave policies that support work‑life balance.
- Employee Assistance Programs: Confidential counseling services and mental‑health resources.
- Learning & Development: Tuition reimbursement, certification support, and internal training platforms.
- Community & Inclusion: Employee resource groups, diversity initiatives, and volunteer opportunities.
Work Environment & Culture at careerzynith
careerzynith cultivates an inclusive, collaborative, and high‑performance culture where every voice matters. Our teams operate in a supportive environment that encourages curiosity, celebrates diverse perspectives, and rewards innovative thinking. Whether you are joining from a home office or a local coworking space, you will experience:
- Transparent leadership that shares strategic direction and business outcomes.
- Regular virtual town halls and team‑building events to keep connections strong.
- A focus on employee well‑being, with resources that address physical, financial, and emotional health.
- Recognition programs that highlight individual and team achievements.
- Access to cutting‑edge tools and technologies that empower you to deliver your best work.
Why Join careerzynith?
By becoming part of careerzynith’s Voice of Customer analytics team, you will directly influence how millions of customers experience our services worldwide. Your work will help shape product roadmaps, improve service quality, and drive strategic decisions that enhance customer satisfaction. If you are passionate about turning raw data into meaningful stories and thrive in a fast‑paced, collaborative setting, careerzynith offers the platform, resources, and community to accelerate your career.
Ready to Make an Impact?
If you are excited about leveraging big‑data technologies to amplify the voice of the customer and want to grow your career with a forward‑thinking, values‑driven organization, we want to hear from you. Apply today and start your journey with careerzynith!
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