Senior Data Engineer

Network For Electronic Transfers (S); Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading payments services group in Singapore is seeking a Lead / Senior Data Engineer to develop and implement ETL solutions for business analytics. The ideal candidate will have a degree in Information Technology or Computer Science, strong SQL skills, and experience with AWS and Snowflake. Responsibilities include ensuring data integrity, collaborating with tech teams, and designing dashboards. This role offers a dynamic environment to tackle big data challenges in digital payments.

Qualifications

• Bachelor's degree in IT, Computer Science or related field.
• Strong knowledge of SQL and ETL processes.
• Experience in integrating data from multiple sources.

Responsibilities

• Develop, test, and implement ETL solutions for business analytics.
• Gather requirements and support Big Data reporting solutions.
• Collaborate with technology teams to ensure data integrity.

Skills

Data integration

SQL

Problem-solving

Analytical skills

Communication skills

Education

Degree in Information Technology, Computer Science or related disciplines

Tools

AWS

Snowflake

QuickSight

Power BI

Job description

The NETS Group is a leading payments services group, enabling digital payments for merchants, consumers and banks across the entire payments value chain. The Group operates Singapore’s national debit scheme enabling customers of DBS Bank/POSB, HSBC, Maybank, OCBC Bank, Standard Chartered Bank and UOB to make payments using their ATM cards or mobile devices at more than 130,000 acceptance points in the country as well as online payments.

The Lead / Senior Data Engineer will be located in NETS Singapore and will be responsible for development, testing and implementation of Extract-Transform-Load (ETL) jobs in supporting organizational business analytic and operational needs. This Engineer will also apply proven communication, analytical and problem‑solving skills to help identify, communicate and resolve any Big Data system loading issues arising from upstream and downstream domains.

Responsibilities

• The Lead / Senior Data Engineer develops, tests and implements ETL (Extract‑Transform‑Load) solutions to meet the business analytic needs for the organization's end users, whilst ensuring both data integrity and accuracy.
• The candidate will also be responsible for requirements gathering, design, development and support for the BigData System reporting solutions in fulfilling business needs.
• The candidate will work closely with end‑users and other technology teams in order to ensure data coherence upstream and downstream, and as well as to rectify pain points or gaps in business intelligence delivery.
• The candidate is to adhere to:
  • organizational SDLC standards, procedures and techniques.
  • organizational Change Management policies and processes for development, testing and implementation
• The candidate will develop ETL jobs by working with columnar databases, Snowflake or other data cloud solutions.
• The candidate will design workbooks/ dashboards based on QuickSight, Power BI or other dashboarding solutions.
• Have an open mind to appreciate, evaluate and if need be, pick up new technologies and frameworks.
• Must be self‑directed and accountable for project deliverables

Requirments

• Degree in Information Technology, Computer Science or related disciplines
• Knowledge in business intelligence design concepts
• A strong working knowledge of SQL language
• Experienced in at least 2 of the following:
  • Integrating data from multiple data sources
  • Management of common AWS infrastructure and services
  • Management of Snowflake infrastructure and services
  • Developing dashboards for AWS Quicksight

Network for Electronic Transfers (Singapore) Pte Ltd.