Nium was founded on the mission to build the global payments infrastructure of tomorrow, today. With the onset of the on-demand economy, its single platform for global payments and card issuing is shaping how banks, fintechs, and businesses everywhere to disburse and collect funds instantly across borders. Its payout network supports 100 currencies and spans 195+ countries, 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 over 40 countries, enabling seamless onboarding, rapid integration, and compliance – regardless of geography. The company is co-headquartered in San Francisco and Singapore, with regional offices in London, Amsterdam, Hong Kong, Mumbai, Bengaluru, and Chennai.

As a Data Engineer you will design and develop highly scalable, reliable, extensive, and maintainable Data pipelines. Understand data classification and adhere to the information protection and privacy restrictions on data.

Design and develop highly scalable, reliable, extensive, and maintainable Data pipelines.

Establish and implement best engineering practices such as architectural design, unit and regression testing, test-driven development, pair programming, and continuous integration frameworks.

Work with the infrastructure team to ensure that all the required monitoring, exception handling and fault tolerance is in place for a production-quality data platform.

Team up with analysts, product managers, and other stakeholders to understand evolving business needs and translate reporting capabilities accordingly.

Identify and investigate emerging trends within our market and the industry as a whole

Assist with process improvement with a customer-focused, progressive mindset.

Understand data classification and adhere to the information protection and privacy restrictions on data.

8+ years as a professional Database engineer with experience in production scale platforms

Experience in CICD framework, Preferably GitHub Actions for version controlling

Strong experience in data mining and the development of ETL processes using SQL or tools like Pentaho,AWS Glue etc.

Strong experience with distributed data architectures and big data processing technologies (Spark, EMR, Hadoop, Hive)

Strong experience with Realtime Frameworks, collection, and processing Realtime data using kinesis Data Streams, KCL, KDA and Firehoses

Expert knowledge of AWS services like S3, Redshift, Athena, Lake formation and Lambda/Step functions

Excellent knowledge and expertise with SQL, Relational databases like Postgres or any other equivalent & NoSQL databases like MongoDB.

Strong knowledge of Java/Spark/Python.

Understanding of file formats like Parquet/ORC/Avro etc.

Expert understanding of the agile software development life cycle

Strong understanding of AWS security services including KMS, AWS Secret Manager.

Strong understanding of data warehousing concepts and Data Modelling

Discerning appreciation of best practices in designing data lakes/lake houses, mentoring junior members, peer review and recommendation

Proven ability to deliver high-quality, production-ready code

Strong customer service and communication skills (verbal and written) to effectively interact with a diverse team of people across business and engineering.

A degree in Computer Science or from the Tire-1 institute

Other relevant certifications like AWS, Data Analytics and Engineering

At Nium we center our way of work around 3 core values globally -

#KeepItSimple, #MakeItBetter and #WinItTogether.

We cut through complexity, simplify at speed and operate with scale in mind.

We build innovative solutions that make our customers' lives better.

We win in this competitive market by collaborating as one team.

For more information visit www.nium.com