Data Engineer - Singapore - NodeFlair

NodeFlair

Verified Company

Singapore

3 weeks ago

Posted by:

Wei Jie

beBee Recruiter

Description

Job Summary:

Job Type
Permanent

Seniority

Years of Experience
Information not provided

Tech Stacks
AWS Pandas Databricks NumPy Airflow Spark Python

If you're keen on creating a space for people to thrive both personally and professionally and excel when working with high levels of autonomy and psychological safety, reach out"

What you'll be doing

Define, collect and model data from business processes or third parties to generate insights and drive strategic or continuous improvement initiatives for the whole company.
Work with technology teams to design and implement reliable and scalable data pipelines.
Work with functional stakeholders to build modern data infrastructure (e.g. data warehouse, data lake), implement automation workflows and solve any datarelated technical issues.
Be the 'Go-To' expert and constantly improve data infrastructure in Castlery.

What you'll need

Bachelor's or Master's degree in Computer Science, Computing Engineering or other equivalent degrees with outstanding academic achievements.
Proven track records working as Data Engineer, Data Scientist, Data Analyst or equivalent.
Good command of database structures and query languages.
Flair in writing clean and optimised code with proper documentation.
Strong in Python scripting and familiar with popular libraries, e.g. Numpy, Pandas
Familiar with Cloud service and setting up data pipelines, e.g. AWS, Airflow, Argo Workflows
Knowledge of big data framework and tech stack is a plus, e.g. Spark, Databricks
Passion and curiosity for solving challenging problems by leveraging on the right technology.
Ability to work collaboratively in a multicultural team environment and lead changes.
Ability to work effectively with people at all levels in an organization.
Ability to deliver sophisticated ideas effectively, both verbally and in writing, in English.

The Perks

Awesome coworkers, really
Global business and operations exposure
A dynamic environment that offers a wealth of learning opportunities and room to make an impact.