Data Engineer

23 hours ago


Outram, Singapore Supernova XYZ Full time

**About Supernova**
We are the fastest growing lifestyle & beauty omni-channel ecommerce company. We build iconic beauty and lifestyle brands for a new generation of women worldwide. Independently owned with a global marketing reach, we connect with over 15 million women on social media every week. Headquartered in Singapore, we currently have offices in Berlin, London and LA. Our brands include Sand & Sky and Coco & Eve.

**About Supernova’s Internal Engine**
Together we create Superstars Our three company pillars are guided by this motto: Our product and brands are of the highest quality and within the top five in their category; our customers are the focus of our actions and their lives improve with our products; our talent and employees grow and develop within Supernova.

This means that investing in hiring, developing and retaining the brightest minds in the world is a top priority. Living our core values of #MakeAnImpact, #TalkAboutIt, #SeekNewOpportunities, #DelightAndSurprise and #MoveForwardTogether creates a unique culture across five different time zones and allows us to realise the enormous potential of this exciting industry. If you’re an ambitious, smart, natural collaborator who likes taking risks, influencing, and innovating in a challenging hyper-growth environment, we’d love to talk to you about joining our team.

**The role**

As Supernova’s Data Engineer, you are responsible for the design and implementation of modern, scalable data-centric services and solutions.

You have strong data infrastructure and architecture skills, with a proven track record of handling high data volumes to serve batch as well as streaming needs.

This is a remote position, working as part of a strong and growing Data Team.

**Responsibilities**:

- Define and build data pipelines from a wide variety of data sources that will enable faster, better, data-informed decision-making within the business.
- Develop custom integrations via REST/SOAP/event-driven architecture.
- Work with stakeholders including the Brand, Product, Ops and Marketing teams to assist with data-related issues and support their data infrastructure needs.
- Build tools for effective maintenance and monitoring of the data infrastructure.
- Contribute to an ongoing effort to improve data reliability, efficiency and quality.
- Performance tuning of data pipelines jobs for optimal end-user experience.

**Your Profile**:

- Minimum Bachelor's degree in a quantitative field is required e.g. Computer Science, Statistics, Mathematics
- 5+ years of experience in data engineering roles using Python / Java.
- Strong experience in Event Driven Architecture using Kafka or Pub/Sub etc.
- Extensive knowledge in ELT processing and workflow orchestration using Airflow/ Nifi or similar tools.
- Experience with development ecosystems such as Git, Docker, Jenkins and CI/CD.
- Preferably with a background in Startup / Ecommerce.
- Ability to plan your work and commit to deadlines.
- Ability to work with cross-functional teams to deliver quality results.- Please note that we can only contact successful applicants._



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