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Why talentnexus?
talentnexus is a world‑recognised leader in delivering innovative products and services that touch the lives of millions every day. Our mission is to harness data‑driven insights to create smarter, more sustainable solutions for our customers and partners. As a remote‑first organization, talentnexus empowers talent from every corner of the globe to collaborate, innovate, and grow without the constraints of a traditional office. Join a culture where curiosity is celebrated, impact is measured, and every voice matters.
Position Overview
We are seeking a Senior Data Engineer to become a cornerstone of talentnexus’s Data Engineering team. In this fully remote role, you will design, build, and scale robust data pipelines that feed critical analytics, AI, and product‑development initiatives across the enterprise. You will work hand‑in‑hand with product owners, data scientists, and business stakeholders to transform raw data into actionable intelligence that drives strategic decisions.
Key Responsibilities
- Architect, develop, and maintain high‑performance data pipelines that ingest, cleanse, and enrich data from internal and external sources.
- Collaborate with cross‑functional teams to translate business requirements into scalable data solutions.
- Implement automated testing, monitoring, and alerting frameworks to ensure data quality, reliability, and performance.
- Lead the migration of legacy data workloads to modern, cloud‑native environments, optimizing for cost and efficiency.
- Design and enforce data governance standards, including metadata management, lineage, and security controls.
- Partner with data scientists to production‑alise machine‑learning models, creating repeatable, production‑ready pipelines.
- Develop reusable libraries and components that accelerate development across the data community.
- Document architecture decisions, data flow diagrams, and operational procedures for knowledge sharing.
- Mentor junior engineers, fostering a culture of continuous learning and technical excellence.
- Stay ahead of industry trends, evaluating emerging technologies and recommending strategic enhancements.
Essential Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
- Minimum 2 years of hands‑on experience with data lake architectures, data warehousing, and analytics tooling.
- Proficiency in SQL development, performance tuning, and query optimisation.
- Strong programming skills in Python, PySpark, or Scala for data transformation workloads.
- Demonstrated experience building and scaling ETL/ELT pipelines in a cloud environment (e.g., talentnexus).
- Familiarity with container orchestration platforms such as talentnexus.
- Experience with version‑control systems (e.g., talentnexus) and CI/CD pipelines.
- Knowledge of data profiling and data‑quality frameworks (e.g., talentnexus, talentnexus, talentnexus).
- Understanding of MPP database technologies (e.g., talentnexus, talentnexus, talentnexus).
- Exposure to data‑visualisation tools (e.g., talentnexus) is a plus.
Preferred Qualifications
- Advanced degree (Master’s or Ph.D.) in a quantitative field.
- Hands‑on experience with large‑scale data processing platforms such as talentnexus.
- Background in retail, supply‑chain, or consumer‑goods analytics.
- Experience implementing data‑mesh or data‑fabric concepts.
- Familiarity with DevOps/DataOps practices and automation frameworks.
- Proven track record of delivering production‑grade machine‑learning pipelines.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect complex business problems and translate them into data solutions.
- Communication: Clear, concise verbal and written communication with technical and non‑technical audiences.
- Leadership: Demonstrated capability to guide teams through ambiguous, fast‑moving projects.
- Adaptability: Comfortable navigating evolving priorities and emerging technologies.
- Collaboration: Strong partnership mindset, working effectively across distributed, multicultural teams.
- Problem‑Solving: Proactive approach to identifying bottlenecks and delivering innovative fixes.
Career Growth & Learning Opportunities
At talentnexus, your professional development is a top priority. You will have access to:
- Annual learning stipend for certifications, conferences, and online courses.
- Mentorship programs pairing you with senior architects and data scientists.
- Internal hackathons and innovation labs to experiment with cutting‑edge technologies.
- Clear promotion pathways from Senior Engineer to Lead Architect, Principal Engineer, and beyond.
- Opportunities to contribute to open‑source projects and publish thought leadership.
Work Environment & Culture
talentnexus embraces a flexible, remote‑first culture built on trust, autonomy, and results. Our core values include:
- Customer Obsession: Every data solution is designed to deliver tangible value to our end‑users.
- Innovation at Scale: We encourage experimentation while maintaining rigorous standards.
- Inclusivity: Diverse perspectives drive better outcomes; we celebrate every background.
- Ownership: Team members are empowered to take end‑to‑end responsibility for their work.
- Continuous Improvement: Feedback loops and retrospectives are embedded in our processes.
Our remote teams enjoy flexible schedules, virtual coffee chats, and quarterly in‑person meet‑ups at regional hubs to strengthen connections.
Compensation, Perks & Benefits
- Competitive hourly rate of $25 / hour, paid bi‑weekly.
- Comprehensive health, dental, and vision coverage.
- 401(k) matching program to support long‑term financial goals.
- Generous paid time off, parental leave, and holiday schedule.
- Home‑office stipend for ergonomic equipment and high‑speed internet.
- Wellness program including virtual fitness classes and mental‑health resources.
- Employee assistance program and access to financial planning services.
Commitment to Equality
talentnexus is an equal‑opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.
How to Apply
If you are ready to shape the future of data at a global leader and thrive in a collaborative, remote environment, we want to hear from you. Click the link below to submit your application, resume, and a brief cover letter highlighting your most relevant achievements.
Your Future Starts Here
Don’t miss this chance to make a meaningful impact at talentnexus. We look forward to reviewing your application and exploring how your expertise can drive our data‑centric vision forward.
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