Senior Data Engineer – Voice of Customer Analytics, Big Data Platform, Remote (Djibouti) – $35/hr at careerzynith

About careerzynith – Pioneering Customer Insight at Scale

careerzynith is a global leader in delivering world‑class experiences to millions of consumers, businesses, and service providers every day. Our mission is to turn every interaction into a meaningful insight, empowering brands to listen, learn, and act with precision. From the bustling streets of Djibouti to the farthest corners of the digital world, careerzynith’s culture is built on integrity, collaboration, and a relentless focus on the customer voice. If you thrive in an environment where data drives real‑world impact, and where every team member is valued, heard, and celebrated, you’ve found your next great adventure.

Why This Role Matters

As a Senior Data Engineer on our Voice of Customer (VOC) Analytics team, you will be at the heart of the transformation journey that turns raw survey data into actionable intelligence. You’ll partner with product owners, agile squads, and cross‑functional stakeholders to design, build, and maintain the data pipelines that power our next‑generation analytics platform. Your work will directly influence how millions of customers are heard, ensuring that careerzynith continues to set the benchmark for excellence in customer experience.

Key Responsibilities

• Data Platform Architecture: Design, develop, and optimize robust data models on the careerzynith data lake, leveraging Hadoop, HDFS, Hive, Spark, and Python to support both batch and real‑time analytics.
• End‑to‑End Pipeline Development: Build scalable ETL/ELT pipelines that ingest, cleanse, and transform voice‑of‑customer survey data from multiple sources, ensuring high data quality and consistency.
• Collaboration with Business Stakeholders: Work closely with product managers, data scientists, and business analysts to translate functional requirements into technical specifications and deliverable data solutions.
• Performance Tuning & Optimization: Conduct rigorous testing, profiling, and tuning of data processes to achieve sub‑second latency for critical dashboards and reports.
• Automation & Tooling: Develop reusable automation scripts (Shell, Python, PySpark) to streamline data validation, monitoring, and deployment workflows.
• Data Governance & Security: Implement best practices for data lineage, access controls, and compliance with global privacy regulations.
• Mentorship & Knowledge Sharing: Guide junior engineers, lead code reviews, and champion a culture of continuous learning within the careerzynith data community.
• Agile Delivery: Participate in sprint planning, daily stand‑ups, and retrospectives, delivering incremental value in two‑week cycles.

Essential Qualifications

• Minimum 3+ years of hands‑on experience with Hadoop ecosystem technologies (Hive, HDFS, MapReduce, Spark).
• Proficiency in Python and PySpark for data processing and analytics.
• Strong command of Shell scripting for automation and orchestration.
• Demonstrated ability to design and implement large‑scale data models that support complex analytical workloads.
• Experience working in an Agile environment, delivering incremental features and collaborating with cross‑functional teams.
• Excellent problem‑solving skills, with a track record of diagnosing and resolving performance bottlenecks.
• Effective communication skills—both written and verbal—to convey technical concepts to non‑technical stakeholders.

Preferred Qualifications & Nice‑to‑Haves

• Advanced degree in Computer Science, Engineering, Statistics, or a related field.
• Hands‑on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
• Knowledge of data governance frameworks (e.g., GDPR, CCPA) and security best practices.
• Previous exposure to survey platforms or customer experience tools, especially those similar to careerzynith’s own survey solution.

Core Skills & Competencies

• Technical Mastery: Deep understanding of distributed computing, data warehousing, and real‑time streaming concepts.
• Analytical Mindset: Ability to interpret complex data sets, identify trends, and propose data‑driven solutions.
• Collaboration: Strong team player who thrives in a multicultural, remote‑first environment.
• Adaptability: Comfortable navigating ambiguous requirements and evolving priorities.
• Customer‑Centric Focus: Passion for turning raw feedback into meaningful business outcomes.

Career Growth & Learning Opportunities

careerzynith invests heavily in the professional development of its people. As a Senior Data Engineer, you will have access to:

• Mentorship programs with senior architects and industry thought leaders.
• Sponsored certifications in big data, cloud, and data science.
• Opportunities to lead high‑visibility projects that shape the future of VOC analytics.
• Cross‑departmental rotations to broaden your skill set and network.
• Regular knowledge‑sharing sessions, hackathons, and innovation labs.

Work Environment & Culture at careerzynith

Our remote‑first philosophy means you can work from anywhere in Djibouti while staying connected to a vibrant global community. careerzynith fosters an inclusive culture where diversity of thought is celebrated. We provide:

• Flexible working hours and hybrid options to suit personal preferences.
• A supportive wellness program that includes virtual health consultations, mental‑health resources, and wellness challenges.
• Generous parental leave policies and family‑friendly benefits.
• Competitive base salary of $35 per hour with performance‑based bonuses.
• Retirement savings plans and financial wellness assistance.
• Access to a global employee assistance program offering confidential counseling.
• Paid time off, sick leave, and holiday calendars aligned with local regulations.

Compensation, Perks & Benefits

careerzynith offers a comprehensive package designed to attract and retain top talent:

• Competitive Base Salary: $35 per hour, commensurate with experience.
• Performance Bonuses: Quarterly incentives tied to individual and team outcomes.
• Retirement & Savings Plans: Employer‑matched contributions to help you plan for the future.
• Health & Wellness: Access to virtual medical services, wellness apps, and fitness reimbursements.
• Parental Benefits: Generous paid parental leave and flexible return‑to‑work options.
• Learning & Development: Tuition reimbursement, certification funding, and internal training resources.
• Work‑Life Balance: Flexible schedules, remote work tools, and a culture that respects personal time.

How to Apply

If you are ready to make a tangible impact on how millions of customers are heard and valued, we want to hear from you. Join careerzynith’s dynamic team and help shape the future of customer experience analytics.

Apply Now – Start Your Journey with careerzynith!

Closing Thoughts

careerzynith believes that great ideas come from diverse perspectives, and we are committed to building a workplace where every voice matters. By joining our team, you will be part of a forward‑thinking organization that rewards curiosity, innovation, and collaboration. Take the next step in your career and help us turn data into stories that drive real change. We look forward to welcoming you to the careerzynith family.