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Data Engineer (with AWS)

nium · Mumbai City

📅 19/08/2026
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Our platform enables banks, fintechs, and global businesses to move money instantly, everywhere. Co-headquartered in San Francisco and Singapore with offices in 14 markets worldwide, we are entering one of the most exciting chapters in our journey. Our payout network spans 190+ countries and 100 currencies, with 100 + corridors in real time. We power seamless transfers to accounts, wallets, and cards, support local collections in 35 markets, and as a principal card issuer on Visa, Mastercard, Discover, and UATP, Nium issues over 50 million card tokens every year. Backed by regulatory licenses in 40+ markets, we make it simple for our partners to onboard, integrate, and scale globally. This scale and innovation have earned us recognition as one of CNBCs Worlds Top Fintech Companies 2025, winner of Best Cross-Border Payments Solution at the PayTech Awards, and inclusion in FXC Intelligences Top 100 Cross-Border Payments Companies list. In 2024, we raised US$50 million in Series E funding at a US$1.4 billion valuation to accelerate network expansion, product innovation, and talent growth. With the B2B payments market projected to hit US$175 trillion by 2030, Nium offers ambitious builders the chance to shape the future of global money movement with the scale of a leader and the energy of a high-growth company. At Nium, were revolutionising the global payments industry and data sits at the core of everything we do. Were looking for a passionate and skilled Data Engineer to join our India-based Data Engineering team. Youll help shape the future of our data platform as we migrate from on-premises systems to AWS cloud . Youll work hands-on with modern tools such as Airflow, Redshift, dbt , and Kafka , collaborating closely with product, engineering, analytics, and business teams to deliver high-quality, scalable data solutions that power real-world payments and enable data-driven decision-making. Youll have the opportunity to contribute to high-impact projects, solve complex technical problems, and work on a platform that supports millions of users globally. If youre motivated by learning, collaboration, and building resilient data platforms at scale, this role offers a strong opportunity for growth. .
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