(SG-Based) Data Engineer
Knoetic
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Posted:
August 18, 2023
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Remote
About the position
We are seeking a Senior Full-stack Engineer to join our founding Engineering team at Knoetic. In this role, you will have the opportunity to work across the stack, from front to back, and bring ideas to life by rapidly building prototypes and releasing scalable products. Your main focus will be on producing high-quality, production-ready code and collaborating with various teams within the organization. We value individuals who are proactive in identifying and addressing issues and have expertise in SQL and Python. If you are motivated to shape the future of work and improve the work lives of millions of people, we encourage you to apply and join our ambitious and collaborative team.
Responsibilities
- Produce high-quality, production-ready, readable, maintainable code
- Start from small support tickets to assist large projects from initial inception to production
- Collaborate with leadership and with peers across engineering, design, product, and go-to-market
- Building scalable products that make the people analytics experience for People leaders and organizations more insightful and more efficient
- Identify and address issues before they become problems and find signals in the noise
Requirements
- BS degree in Computer Science or equivalent practical experience
- 1-2+ years of experience building modern data pipelines
- Expert proficiency in SQL & Python
- Ability to identify and address issues before they become problems
- Skilled at finding signals in the noise
Benefits
- Opportunity to work with a diverse team
- Chance to improve the work lives of millions of people
- Ambitious and collaborative work environment
- Opportunity to shape the future of work
- Chance to work on building scalable products
- Ability to work across the stack, front to back
- Opportunity to rapidly build prototypes and iterate
- Chance to collaborate with leadership and peers across various departments
- Opportunity to work with modern data pipelines
- Expert proficiency in SQL and Python
- Chance to address issues before they become problems
- Opportunity to work in an inclusive workplace