Get to know our Team:
We focus on humanizing big data, being a bridge between the technical and operational (market) side of business and to use data in order to align with strategic goals. If you like a good challenge and love to find new ways of interpreting data then you’re a perfect fit! Join our mission to make data more accessible and useful for Business, Product and Data Science & Analytics communities.
What will you do?
- Design and implement data products.
- Provide clean datasets to end users, modeling data in a way that empowers end users to answer their own questions.
What's a Day In The Life of a Data Analytics Engineer like?
- Develop data applications that provides analytical insights for business stakeholders
- Establish data driven decision making ecosystem for business stakeholders through integration of data products with Grab’s internal tools and systems
- Build and maintain data pipelines used for a diverse range of data products
- Implement best practices for managing versions and source control for data product development
What are the Must Haves?
- A Bachelor's/Masters degree, preferably in Software Engineering or Analytics
- At least 3 years of experience in Analytics, Business Intelligence or Software Engineering role, preferably in an Internet or 'Direct to Consumer' company with large, complex, high velocity data
- Strong foundation in data query/manipulation using SQL and data visualisation tools (PowerBI).
- Strong knowledge in Python, C#, Javascript or DAX
- Strong foundation in Azure Data Services (SQL DWH/Synapse, Databricks, Data Factory, Analysis Services, PowerBI) preferred
- Strong foundation using Big Data technologies (Spark, PySpark, Databricks, Delta Lake, MLFlow)
- Strong foundation in Software Engineering, holding Azure certifications in Data/AI is a strong plus
- Passionate about solving problems – possesses a relentless need for investigation and data exploration
Does this role speak to you? Welcome...click on "I'm Interested!"