- Toa Payoh Central Region (Singapore) Singapore
VINOVA PTE. LTD. Hiring! Full Time Data Engineer (MOE) in Central Region (Singapore), Earn up to SGD 9,600 - Ricebowl
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Company Overview
Established in 2010, Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. We serve global clients across IoT, blockchain, fintech, banking, networking, and ecommerce, delivering quality products through passionate, collaborative teams.
Job Summary
Design, build, and operate scalable data architectures and pipelines to support diverse data use cases. Collaborate cross-functionally to develop robust data models and apply modern engineering practices that enhance data system reliability, security, and performance.
Responsibilities
Design, build, and operate scalable data architectures and pipelines for ingesting, transforming, and serving data across diverse source systems and use cases
Develop robust data models and reusable data capabilities for applications, analysts, data scientists, and other data consumers
Apply proven architectural and engineering practices to improve the reliability, security, observability, performance, and maintainability of data systems
Evaluate technologies and architectural approaches, make sound technical trade-offs, and contribute to evolving the Data Programme's architecture and engineering standards
Champion modern software engineering practices including automated testing, code review, CI/CD, and infrastructure-as-code, and help the team meet these standards through review and coaching
Collaborate cross-functionally with engineers, Product Managers, Data Scientists, analysts, and users, providing technical leadership through design reviews, mentoring, and knowledge sharing
Demonstrate strong software engineering fundamentals by developing and maintaining high-quality codebases
Utilize proficiency in Python and SQL to implement data solutions and perform data manipulation tasks
Apply strong experience in enterprise data architecture and engineering to design scalable and efficient data systems
Design data pipelines and data models that meet business and technical requirements
Use cloud platforms, preferably AWS, to deploy and manage data infrastructure
Work with modern data warehouse or data platforms such as Redshift, Snowflake, Databricks, BigQuery, or equivalents
Implement data orchestration, transformation, and modeling using modern engineering tools and approaches
Employ production engineering practices including testing, CI/CD, monitoring, troubleshooting, and ensuring data quality
Preferred competencies and qualifications
Hands-on experience with workflow orchestration tools such as Apache Airflow or equivalent
Experience with transformation and analytics engineering frameworks such as dbt or equivalent
Established in 2010, Vinova is a passion-driven and award-winning development company for mobile, web, and enterprise applications. Our clients span the globe and cover a wide range of projects including IoT, blockchain, banking, fintech, networking, and ecommerce.
Vinova earns respect from customers by being committed to quality, flexibility, and speed. We strive to build great products by working with a passion, working closely with our customers, and through open but disciplined collaboration.
You will be working in an encouraging and challenging environment, taking advantage of the latest technology to develop excellent mobile apps for clients. You will be engaging clients in both on-site and off-site support.
Interested to join our all-star team? Submit your application to us now! Tell us why you want to work with us and why you think you’d be a good candidate. We are looking forward to hearing from you!
Established in 2010, Vinova is an award-winning development company specializing in mobile, web, and enterprise applications. We serve global clients across IoT, blockchain, fintech, banking, networking, and ecommerce, delivering quality products through passionate, collaborative teams.
Job Summary
Design, build, and operate scalable data architectures and pipelines to support diverse data use cases. Collaborate cross-functionally to develop robust data models and apply modern engineering practices that enhance data system reliability, security, and performance.
Responsibilities
Design, build, and operate scalable data architectures and pipelines for ingesting, transforming, and serving data across diverse source systems and use cases
Develop robust data models and reusable data capabilities for applications, analysts, data scientists, and other data consumers
Apply proven architectural and engineering practices to improve the reliability, security, observability, performance, and maintainability of data systems
Evaluate technologies and architectural approaches, make sound technical trade-offs, and contribute to evolving the Data Programme's architecture and engineering standards
Champion modern software engineering practices including automated testing, code review, CI/CD, and infrastructure-as-code, and help the team meet these standards through review and coaching
Collaborate cross-functionally with engineers, Product Managers, Data Scientists, analysts, and users, providing technical leadership through design reviews, mentoring, and knowledge sharing
Demonstrate strong software engineering fundamentals by developing and maintaining high-quality codebases
Utilize proficiency in Python and SQL to implement data solutions and perform data manipulation tasks
Apply strong experience in enterprise data architecture and engineering to design scalable and efficient data systems
Design data pipelines and data models that meet business and technical requirements
Use cloud platforms, preferably AWS, to deploy and manage data infrastructure
Work with modern data warehouse or data platforms such as Redshift, Snowflake, Databricks, BigQuery, or equivalents
Implement data orchestration, transformation, and modeling using modern engineering tools and approaches
Employ production engineering practices including testing, CI/CD, monitoring, troubleshooting, and ensuring data quality
Preferred competencies and qualifications
Hands-on experience with workflow orchestration tools such as Apache Airflow or equivalent
Experience with transformation and analytics engineering frameworks such as dbt or equivalent
Established in 2010, Vinova is a passion-driven and award-winning development company for mobile, web, and enterprise applications. Our clients span the globe and cover a wide range of projects including IoT, blockchain, banking, fintech, networking, and ecommerce.
Vinova earns respect from customers by being committed to quality, flexibility, and speed. We strive to build great products by working with a passion, working closely with our customers, and through open but disciplined collaboration.
You will be working in an encouraging and challenging environment, taking advantage of the latest technology to develop excellent mobile apps for clients. You will be engaging clients in both on-site and off-site support.
Interested to join our all-star team? Submit your application to us now! Tell us why you want to work with us and why you think you’d be a good candidate. We are looking forward to hearing from you!
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