Intern, Data Engineer

Petaling Jaya, Malaysia

Grab

Grab is Southeast Asia’s leading superapp. It provides everyday services like Deliveries, Mobility, Financial Services, and More.

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Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

The People Data Warehouse (PDW) team provides the data foundations used for real-world in pursuit of a people culture at Grab. The work you do in the PDW team will have an amplifying impact on Grab as it improves thousands of Grabbers who work together to unlock the potential of Grab to bring hundreds of millions to economic empowerment and prosperity.

To build this data foundation, we extract and integrate a large variety of data sources and provide a secure, scalable, reliable and efficient platform for processing this data for insights. 

Get to Know the Role 

Despite being a small team, we manage the full life cycle of this data platform which includes requirement gathering and negotiations with data source providers, writing pipelines that ingest the data from source APIs, loading the data into a data warehouse followed by transforming that data. 

Also, we support integrations from several tools that are used by our downstream users who use PDW data for use cases such as business intelligence, analytics and machine learning. Finally, we manage all of the operations including the infrastructure layer.

You will report to the Engineer Manager II and working onsite.

The Critical Tasks You Will Perform

  • You will apply Python, JavaScript & SQL code components in the Extract, Transform, & Load (ETL) framework or as supporting scripts
  • You will maintain our AWS infrastructure using Terraform 
  • You will manage data pipelines for Extract, Transform, and Load (ETL) and transformations
  • You will work on the automation of manual tasks
  • You will work with the team to troubleshoot issues and propose solutions
  • You will enhance your skills as a Data Engineer working on large systems and data using the latest technologies including AWS Redshift, Airflow, CI/CD DevOps practices, automation and workflows to support complex data platforms

Qualifications

What Essential Skills You Will Need

  • Your studies as an Undergraduate in Software Engineering or Computer Science. 
  • You will have proficiency in Python or JavaScript
  • You will have experience using SQL.
  • You will have some familiarity with AWS infrastructure and Terraform
  • You will understand data platforms and pipelines
  • You will understand implementing automation and workflows of manual tasks

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the benefits we offer our Interns:

  • Attractive Monthly Allowance!
  • EPF (Employees Provident Fund) or SOCSO (Social Security Organization) where applicable.
  • Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

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Category: Engineering Jobs

Tags: Airflow APIs AWS Business Intelligence CI/CD Computer Science Data pipelines Data warehouse DevOps Engineering ETL JavaScript Machine Learning Pipelines Python Redshift Security SQL Terraform

Perks/benefits: Career development

Region: Asia/Pacific
Country: Malaysia

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