About The Role
This role requires close collaboration with Data Engineers and Data Scientists to build an efficient, robust machine learning infrastructure to support risk analysis and modeling requirements. The individual should be versatile, have experience in data science and software engineering, and a solid understanding of infrastructure to tackle complex problems at large scales. The individual will apply their knowledge of machine learning techniques to deploy real-time, production-level models, significantly contributing to our operations. This role demands self-drive, strong ownership, and excellent communication skills.
What You Will Do
- Data Modeling: Design and implement data models to support analytics for various business needs
- Data Quality Assurance: Perform data quality checks, troubleshoot data-related issues, and implement measures to improve data quality
- Performance Optimization: Identify and rectify bottlenecks in data processes, and enhance workflows for improved performance, scalability, and efficiency
- Collaboration and Documentation: Collaborate with cross-functional teams across different offices (Data Engineers, Data Scientists, Analysts, Software Engineers) to understand data requirements and contribute to data engineering process and solution documentation
- Data Governance: Adhere to the company’s data governance guidelines and best practices for data engineering, including security, compliance, and privacy standards
- Stay Updated: Keep up-to-date with emerging trends, tools, and technologies in the data engineering and cloud computing domain.
What You Will Need
- Minimum of 4+ years of professional data warehouse developer experience
- Experience with BigQuery or other cloud-based DataWarehouses
- Experience with AirflowProficiency in Python and SQL
- Self-driven with a strong sense of ownership, ability to work independently to solve problems and develop solutions
About The Team
Our data team is part of GoToFinancial Consumer Lending and mainly supports two products: GopayLater and GopayPinjam. The team includes members from offices in Jakarta, Singapore, and Bangalore. We collaborate closely with the Risk, Finance, Growth, and Product teams, assisting them with their data requests on a daily basis.
About GoTo Group
GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek
Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo Financial
GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.