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Singapore, SG, 018983
Live, first seen by us 57 days agoThe Full Stack Data Engineer will be required to develop scalable, secure, and high-quality data engineering, AI/ML Ops, and data platform solutions aligned with business objectives and timelines.
Design scalable, secure data architectures, pipelines and technical solutions
Operationalize AI/ML solutions with data quality, governance and lineage practices
Build physical data models and ETL processes for quality and accessibility
Build and maintain scalable, fault-tolerant microservices and server-side APIs
Shape the information and analytics roadmaps for Nomura's businesses
The Full Stack Data Engineer will be required to develop scalable, secure, and high-quality data engineering, AI/ML Ops, and data platform solutions aligned with business objectives and timelines. Design maintainable data architectures, pipelines, and technical solutions adhering to enterprise standards.
Design scalable, secure and maintainable data architectures, pipelines, and technical solutions aligned with enterprise standards and business requirements.
Drive the operationalize of AI/ML solutions while implementation best practices for data quality, governance, metadata, lineage and platform reliability.
Building physical data models and ETL processes to ensure data quality, integrity, and accessibility.
Building and maintaining highly scalable and fault tolerant microservice, including efficient server-side APIs.
Shape the information & analytics agenda at Nomura and work with all of Nomura’s businesses in laying out their information & analytics adoption roadmaps.
Experience in data management principles including, but not limited to data quality, metadata management, data lineage, master data management, and data governance.
Experience in programming languages (Python, Java, Unix scripting etc.) and with orchestration tools like Airflow or Autosys
Experience with cloud technologies such as EC2, EMR, Snowflake or similar tools with ability to drive design and data model discussions, hybrid data architecture.
Ability to understand and integrate cultural differences and work effectively with virtual cross-cultural, cross-border teams
Experience with senior stakeholder management will be an added advantage.
Excellent communication (verbal, written, listening), presentation, and interpersonal skills.
Proficiency in React with hands-on experience in UI development a plus.
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Day 57
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- Deployment experience: Hands on experience with CI/CD, Jenkins, Ansible, DevOps process, Enterprise integration patterns. - Experience in programming languages (Python, Java, Unix scripting etc.) and with orchestration tools like Airflow or Autosys - Experience with cloud technologies such as EC2, EMR, Snowflake or similar tools with ability to drive design and data model discussions, hybrid data architecture.
- Proficiency in React with hands-on experience in UI development a plus. - Hands-on with programming languages (Python, Java, Unix scripting etc.) and with orchestration tools like Airflow or Autosys - Building physical data models and ETL processes to ensure data quality, integrity, and accessibility.
- Experience in programming languages (Python, Java, Unix scripting etc.) and with orchestration tools like Airflow or Autosys - Experience with cloud technologies such as EC2, EMR, Snowflake or similar tools with ability to drive design and data model discussions, hybrid data architecture. - Proficiency in React with hands-on experience in UI development a plus.
- Experience with cloud technologies such as EC2, EMR, Snowflake or similar tools with ability to drive design and data model discussions, hybrid data architecture. - Proficiency in React with hands-on experience in UI development a plus. - Hands-on with programming languages (Python, Java, Unix scripting etc.) and with orchestration tools like Airflow or Autosys
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job Title: Full Stack Data Engineer
Corporate Title: Associate
Division: Group Technology (Chief Data Office)
Location: Singapore
SFID: 14526
Licensed Role: No
Nomura Overview
Nomura is a financial services group with an integrated global network. By connecting markets East & West, we service the needs of individuals, institutions, corporates and governments through our four business divisions: Wealth Management, Investment Management, Wholesale (Global Markets and Investment Banking) and Banking.
Driven by the insights of some 28,000 people worldwide, we put our clients at the center of everything we do, delivering unparalleled access to, from and within Asia. For further information about Nomura, visit www.nomura.com
Department Overview
The Chief Data Office plays a key role in defining and implementing the firm's data, cloud and AI strategy, driving change through these capabilities, enforcing data, cloud and AI governance for the firm, and elevating Nomura's data culture. Governance remains a critical focus area, and the Chief Data Office, in partnership with Business and Corporate functions, is responsible for ensuring that the firm's data assets are managed in line with the firm's data management framework, policy and standards.
Role Description
The Full Stack Data Engineer will be required to develop scalable, secure, and high-quality data engineering, AI/ML Ops, and data platform solutions aligned with business objectives and timelines. Design maintainable data architectures, pipelines, and technical solutions adhering to enterprise standards.
Responsibilities
Requirements
Nomura Competencies
Diversity Statement
Nomura is committed to an employment policy of equal opportunities, and is fundamentally opposed to any less favourable treatment accorded to existing or potential members of staff on the grounds of race, creed, colour, nationality, disability, marital status, pregnancy, gender or sexual orientation.
DISCLAIMER: This Job Description is for reference only, and whilst this is intended to be an accurate reflection of the current job, it is not necessarily an exhaustive list of all responsibilities, duties, skills, efforts, requirements or working conditions associated with the job. The management reserves the right to revise the job and may, at his or her discretion, assign or reassign duties and responsibilities to this job at any time.
Nomura is an Equal Opportunity Employer
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Singapore, SG, 018983
- Experience in programming languages (Python, Java, Unix scripting etc.) and with orchestration tools like Airflow or Autosys - Experience with cloud technologies such as EC2, EMR, Snowflake or similar tools with ability to drive design and data model discussions, hybrid data architecture. - Proficiency in React with hands-on experience in UI development a plus.
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