Job Description

Position Overview

• Company: Nium, Global Leader in Payments
• Employment Type: Full-time
• Location Type: Hybrid

Nium, the global leader in real-time, cross-border payments, was founded on the mission to deliver the global payments infrastructure of tomorrow, today. With the onset of the global economy, its payments infrastructure is shaping how banks, fintechs, and businesses everywhere collect, convert, and disburse funds instantly across borders. Its payout network supports 100 currencies and spans 220+ markets, 100 of which in real-time. Funds can be disbursed to accounts, wallets, and cards and collected locally in 35 markets. Nium’s growing card issuance business is already available in 34 countries. Nium holds regulatory licenses and authorizations in more than 40 countries, enabling seamless onboarding, rapid integration, and compliance – independent of geography. The company is co-headquartered in San Francisco and Singapore.

Responsibilities

• Design and implement scalable, maintainable, and high-performance data pipelines to process large volumes of structured and unstructured data.
• Collaborate with cross-functional teams to identify data requirements and translate them into optimal technical solutions.
• Develop and maintain ETL processes, ensuring data accuracy, completeness, and timeliness.
• Optimize and fine-tune data storage solutions, including databases, data lakes, and data warehouses, for efficient query performance.
• Conduct data modeling and generate insightful reports that inform stakeholders and drive business decisions.
• Build and drive the adoption of machine learning capabilities across the organization.
• Implement and enforce data governance policies and best practices to ensure data quality and security.

Requirements

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: 1-3 years of experience in data engineering or a similar role.
• Programming Skills:
  • Strong programming skills in SQL and Python languages.
• Big Data Technologies: Expertise in big data technologies such as Hadoop, Spark, Kafka, and Flink.
• Database Experience: Experience with SQL and NoSQL databases, such as PostgreSQL, MongoDB, and Cassandra.
• Machine Learning: Experience in building machine learning models and their operations.
• Analytical Skills: Exceptional problem-solving and critical reasoning skills. Strong data analysis and statistics fundamentals.
• Communication Skills: Excellent communication and collaboration abilities.

Application Instructions

• (Details on how to apply are missing from the provided text.)

Company Information

• Company: Nium, Global Leader in Payments
• Headquarters: San Francisco and Singapore