About the Role

As GoPay is undergoing exponential growth, our data has followed the same growth curve. Thus, as an integral member of the Data Engineering team, you'll be at the epicenter of one of Southeast Asia's most coveted companies and get to witness and solve the challenges that come with rapid scaling.

As a Data Engineering Manager for our Payments team, you'll focus heavily on building and scaling a data platform that enables and delivers reliable, trustworthy, and approachable data to our users. You'll also get to design, develop, and deploy applications with a high sense of ownership. Additionally, you’ll lead a lean team of Data Engineers and build robust data engineering products and infrastructures that'll propel the business to achieve their objectives through a data-driven approach. The core data platforms you’ll build will deliver, model, and curate data for the entire Gojek Payments platform.

What You Will Do
  • Build a highly scalable and fault tolerant data streaming platform to process and analyze a large volume of messages in real time
  • Oversee containerization and deployment of microservices on Kubernetes
  • Design and deploy the data engineering applications on Google Cloud Platform
  • Manage the auto-scaling and monitoring performances of the Infrastructure using InfluxDB and Grafana, or similar tools
  • Collaborate with the team to ensure that the service level objectives and agreements are achieved
  • Set up Infrastructure as a code using Terraform and Chef
  • What You Will Need
  • At least 8 years of working experience in data engineering, with experience leading a team and building data engineering applications on a large-scale distributed computing infrastructure in a cloud environment
  • In-depth experience in containerization, including Docker and Kubernetes
  • Experience dealing with large scale data at Terabyte/Petabyte scale
  • Good understanding of programming languages and proficient in Java and Golang
  • Hands-on in SQL with a deep understanding of query optimization
  • Experience managing distributed systems like Elasticsearch/MongoDB and a serverless data warehouse like BigQuery or Redshift
  • Extensive experience of deploying and maintaining the Airflow Instance
  • Experience working with Agile methodologies, Test Driven Development and implementing CI/CD pipelines using Gitlab and Docker
  • About the Team

    As GoPay scales rapidly, the need for creating a reliable and scalable data infrastructure becomes increasingly more important. Our Data team is a newly established family, with members stationed across Singapore and India. We’re responsible for running hundreds of instances and deployments across all of our payment products, directly impacting millions of users every single day. Most recently, we've worked on building products that reduce the overall time to model, curate, and access data, streamlining our efficiency and internal processes significantly.

    Combating remote work has brought us even closer, with frequent catch-ups over tea and sharing ways we have been keeping ourselves sane. Along with our desire to utilize smart technology and innovative engineering strategies to make people’s lives easier, our team also bonds over our shared love for reading, gaming, and drinking lots of coffee. We work hard and play hard, and believe it or not, we actually enjoy each other’s company!

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    Gojek is a Super App. It’s one app for ordering food, commuting, digital payments, shopping, hyper-local delivery, and a dozen other products. It is Indonesia’s first and only decacorn. It's also the only Southeast Asian startup to be part of Fortune's list of 'Companies That Changed The World.

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