People Analytics Data Engineer

Get to know our Team:

As People Analytics Data Engineer, you will be part of our People Analytics Team.

The team strives to revolutionize human resources the same way that Grab has revolutionized transportation. 

Here’s what we do:

• Serve to find, grow and keep the remarkable assemblage of talent who are our Grabbers

• Solve some of the most challenging and fascinating problems in People Operations through data analytics and insights development

• Drive special projects that directly impact People Operations strategy and objectives, and drive service delivery improvements and excellence

• Foster a culture where we enjoy raising the bar constantly for ourselves and others, and that strongly supports the freedom to explore and innovate

The day-to-day activities:

• Participate in all aspects of developing a data warehouse

• Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple applications around People, Finance and other business domains

• Liaise with People Operations, Other Business units, Design and Engineering stakeholders to define and review technical specifications

• Design and implement APIs, scripts, ETL jobs, data models, etc.

• Write unit, functional and end-to-end tests

• Develop and maintain technical specifications, API documentation and runbooks

• Identify system and application metrics, develop dashboards and setup alerts for metrics and thresholds

• Develop dashboards in BI tools like Tableau, Qlik

• Participate in technical and product discussions, code reviews, and on-call support activities

The must haves:

• Sound knowledge of data modelling/architecture and SQL

• Sound knowledge of data warehousing concepts

• Knowledge of one or more programming languages such as Java, Scala, Python, etc.

• Excellent written and verbal communication skills

• Ability to work in a fast-paced agile development environment

• Keen interest to develop a career in Data warehouse and Business Intelligence 

• Some exposure to Cloud technologies such as Azure, AWS, etc.

The good to haves:

• 1 or more years of experience working in data related roles, internships or otherwise.

• Knowledge of Big Data and stream processing technologies

• HR Tech domain experience, especially with Workday application