Gojek sedang merekrut seorang
Data Warehouse Engineer - GoPay
Loker ini dibuat lebih dari 2 bulan yang lalu
About the Role
As our Data Warehouse Upstream Developer, you’ll be an instrumental cog in the Data & BI team that impacts the company’s analytical data infrastructure. Your main objective is to design, develop, setting up, and manage our data infrastructure, which needs to operate reliably at scale using a high degree of automation in many aspects. You will also play active roles in ensuring data governance policies and tooling are implemented and adhered to. Product managers, engineers, BI/analytics, and data scientists will be your companions during this ride. Best yet, you’ll have the opportunity to flex your technical and communication skills, helping the team to best utilize the data that we have.
What You Will Do
- Understand business concepts, goals, and use them effectively to scope data projects.
- Design, develop, maintain, and govern scalable and reliable services for data consumption from various sources
- Handling data extraction process into data lake in the data warehouse
- Diagnose and solve data issues in our data pipelines and look for the root cause of problems and envision a long term solution
- Work closely with the data stakeholders (Data Warehouse Downstream, Analyst, Growth, etc) to come up with a working data solution and accommodate their data needs
- Consulting with product team and data engineers on to ensure the developed solutions match the business needs
- Contribute to the product strategy and execute on the prioritized roadmap for your team
What You Will Need
- Should have at least 7 years of experience in data engineering, software engineering, or data warehouse development.
- Enjoy to write code to solve any data problems, preferably in Python. Experience in Java and Go is a plus.
- Meticulous ability to read others’ complex code and documentation.
- Expert in SQL in any platforms. Experience in cloud data warehouses (BigQuery, Redshift) is a plus.
- Basic knowledge in real-time data processing. Experience in Apache Kafka, Apache Flink is a plus.
- Basic knowledge of containerization (Docker, Kubernetes) and CI/CD (Gitlab CI).
- Experience in wide-range of ETL systems (Apache Airflow, Pandas, RDBMS, Debezium, etc).
- Experience in cloud infrastructure (e.g. GCP, AWS).
About the Team
Our Data & BI team consists of people from Data Warehouse Developer (Upstream & Downstream), Data Governance Analyst, and Data Science Engineer based in Indonesia. Working alongside the analytics, product, and engineering team, we are predominantly concerned with providing data tools to fulfill the business needs, including the standardized data warehouse pipeline and data democratization project. For instance, should you have a question about how data can be utilized well, we are your people! Currently, our team has been busy working on implementing the group-wide data warehouse model, which will help Gojek in synchronizing the data-services standard across the companies.
We are a tight-knit group made up of culinarists, netflix enthusiasts, and readers. We work hard and play hard, and believe it or not, we actually enjoy each other’s company!
About GoTo Financial
GoTo Financial brings secure, reliable, and user-friendly financial solutions to over 55 million monthly active users, more than 14 million merchants, and over 2.5 million driver-partners eager to benefit from the digital economy in the GoTo ecosystem.
GoTo Financial’s consumer services include GoPay, GoPayLater, and other financial services. We also serve businesses of all sizes through leading payment gateway Midtrans, Indonesia’s largest cloud POS network Moka and GoKasir. We also have the all-in-one merchant solution GoBiz, GoBiz Plus, GoStore, and Selly - available in Indonesia and Southeast Asia.
Gojek and GoTo Financial are committed to building a diverse and inclusive workplace and are equal opportunity employers. We do not discriminate on the basis of race, religion, national origin, gender, gender identity, sexual orientation, disability, age, education status, or any other legally protected status.
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