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Urgent! Senior Software & Data Engineer Job Opening In Singapore, Singapore – Now Hiring NTUC FairPrice

Senior Software & Data Engineer



Job description

We are actively seeking a highly skilled, motivated, and forward‐thinking Software and Data engineer to become a pivotal member of our dynamic Customer Tech department in the newly formed customer function(CCO).

In this critical role, you will be instrumental in architecting and ensuring the seamless system and data integration between our sophisticated customer technology stack and a myriad of other vital enterprise systems.

Your primary focus will revolve around the development of high quality data integration, data product such as product catalog and offer catalog, and robust, scalable, and secure APIs (Application Programming Interfaces) and comprehensive data ETL (Extract, Transform, Load) processes.


These will serve as the backbone for connecting our diverse customer‐facing applications, such as our intuitive mobile app and our efficient Point‐of‐Sale (POS) systems, with both internal platforms and external ecosystems, including our strategic external loyalty merchant systems.

This position offers a unique opportunity to shape the digital landscape of Singapore's largest grocery retailer.


As Senior Software and Data Engineer, your key responsibilities will include:
Data product development and data domain ownership:
Own the data domain knowledge of customer, product and offer and develop data product based on requirement from various customer engagement channels such as Google, Meta, Salesforce CRM, Alibaba and main Singapore ecommerce platforms
API Design and Development:
Proactively design, develop, and meticulously maintain high‐performance APIs that facilitate smooth and secure data exchange for both internal system integrations and external partnerships.

This includes defining API specifications, ensuring data integrity, and optimizing for speed and reliability.


Data ETL Pipeline Management:
Implement, manage, and optimize sophisticated data ETL (Extract, Transform, Load) pipelines.

You will be responsible for extracting data from various sources, transforming it into a usable format, and loading it into target systems, ensuring data consistency and availability across disparate platforms.


Cross‐Functional Collaboration:
Engage in close and collaborative partnerships with product managers, front‐end developers, other engineering teams, and business stakeholders.

Your ability to understand complex integration requirements and translate them into effective, scalable technical solutions will be paramount.


System Scalability and Reliability:
Proactively ensure the scalability, reliability, and security of all integration solutions.

This involves designing fault‐tolerant systems, implementing monitoring tools, and continually optimizing performance to handle increasing data volumes and user traffic.


Issue Resolution and Debugging:
Independently and collaboratively troubleshoot, diagnose, and efficiently resolve complex integration‐related issues.

This includes identifying root causes, implementing effective fixes, and documenting solutions for future reference.


Code Quality and Architectural Contribution:
Actively participate in rigorous code reviews, providing constructive feedback to peers and ensuring adherence to best practices and coding standards.

You will also contribute meaningfully to architectural discussions, offering insights and recommendations to shape the future of our integration landscape.


Documentation and Knowledge Sharing:
Create and maintain comprehensive documentation for all APIs, ETL processes, and integration solutions, facilitating knowledge transfer and ensuring maintainability.


To excel in this role, you should possess:
Exceptional Programming Proficiency:
Demonstrated expert‐level proficiency in Golang, Python, and SQL.

You should be adept at writing clean, efficient, and well‐documented code in these languages.


API Expertise:
A strong, in‐depth understanding of API design principles, including RESTful architectures and GraphQL.

Experience with various API authentication and authorization mechanisms is essential.


Data Integration and domain understanding Acumen:
Extensive experience with diverse data integration patterns, methodologies, and ETL processes.

You should be comfortable working with various data formats and ensuring data quality during transfers.


Independent and Collaborative Spirit:
Proven ability to work autonomously, take initiative, and manage multiple priorities effectively.

Equally important is your capacity to thrive in a collaborative team environment, contributing positively to group objectives.


Analytical and Problem‐Solving Prowess:
Excellent analytical, critical thinking, and problem‐solving skills, with a methodical approach to identifying and resolving complex technical challenges.


Big Pluses: Added Advantages
Cloud Platform Experience:
Hands‐on experience working with Google Cloud Platform (GCP) services, particularly those related to data processing, API management, and serverless computing such as Apigee, GKE, Cloud Run/Function, Cloud Composer, Big Query and Cloud SQL
Data Platform knowledge:
experience in integration with Segment io(CDP), Salesforce data cloud and Meta/Google API are strong plus
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