Snaphunt Pte Ltd – Data Engineer

Snaphunt Pte Ltd snaphunt.com
$2,000 - 4,000 monthly Full/Perm
This position is already closed
Date Listed
28 Apr 2023
Experience Level
Entry Level / Junior Executive
Profession
Engineering
Industry
Insurance
Job Period
Immediate Start, Permanent
Location Name
Singapore
Company Profile

Our Client is an intuitive yet comprehensive SaaS platform that provides all companies, whether big or small, with intelligent tools for highly accessible and impactful sustainability management, reporting, and optimization. Created and led by experts, the platform revolves around inclusivity and accessibility, focusing on unlocking an open world where sustainability is no longer elusive to people.

Job Description
  • Join a fast-growing SaaS startup in the sustainability industry
  • Opportunity to work with global teams towards creating a positive impact
  • Competitive compensation

The Job

In this role, you will be reporting to the Head of Data Science and will be responsible for :

  • Creating data visualizations that help drive business decisions
  • Implementing performance and data quality considerations into visualization planning and delivery
  • Collaborating with cross-functional teams to gather data requirements
  • Managing multiple information streams flowing into the data lake
  • Recommending, developing, and implementing ways to improve data reliability, efficiency, and quality.
  • Managing the code on GitHub

Ideal Candidate

Skills required:

  • You have at least 3 years of experience as a Data Engineer and have a Degree in Computer Science, Engineering, or a related field.
  • Hands-on experience with Extraction, Transformation, and Loading (ETL)
  • Demonstrated experience working with large and complex data sets
  • You possess solid hands-on knowledge of working with Python, Google Cloud APIs, and Github.
  • You are an analytical and detail-oriented professional who can work well in fast-paced environments.
  • Prior experience in the Sustainability industry would be advantageous
  • You can work well in teams and believe in delivering quality results

Ref: MDF9OKYJUA

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