Job Description

About Us
Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields.

A founding member of the Global Anti-Scam Alliance (GASA), Gogolook has also teamed up with a number of institutes such as the Taiwan National Police Agency Criminal Investigation Bureau, the Financial Supervisory Service of South Korea, Thai Royal Police, the Fukuoka city government, the Philippines Cybercrime Investigation and Coordinating Center, and the Royal Malaysia Police and state government to fight fraud and ultimately, to build a trustworthy communication network with the largest number database in East Asia and Southeast Asia. In July 2023, TrustTech provider Gogolook completed its IPO listing on the Taiwan Innovation Board (TIB) of the Taiwan Stock Exchange (TWSE), under the ticker number 6902.

Why you should join Gogolook

Influential products: What we make are meaningful products that create values for society and defend against frauds
Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company
Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together
Transparent culture: We publicly share the company's information to all, every member can read and feedback, and become a part of participating in the proposal

As a Data Platform Engineer in Gogolook, you will play a critical role in designing, building, and maintaining our data platform infrastructure. You will collaborate with cross-functional teams to ensure data availability, reliability, and scalability for our organization's growing data needs. If you are passionate and looking to implement DataOps practices fostering collaboration and automation in data workflows, we invite you to join our team as a Data Platform Engineer.

Responsibilities

Design and construct comprehensive ETL pipelines for high-performance, large-volume applications
Build and enhance the data architecture to support business intelligence systems and product applications
Implement data governance and security measures to ensure data privacy and compliance with relevant regulations
Create automation processing to reduce development time and increase data reliability

Minimum Qualifications

Minimum of 3 years of hands-on software development experience in languages such as Python, Scala, Java, Golang, etc
With expertise in optimizing data flow and processing efficiency and experience handling data throughput of up to 1 million records per hour
Hands-on experience with cloud platforms like AWS, GCP or Azure
Proficiency in developing robust data pipelines, including data collection and ETL(Extract, Transform, Load) processes
Experience designing and implementing various components of a data platform, including data ingestion, storage, data warehousing, data orchestration
Experience deploying infrastructure as code using CloudFormation or Terraform in AWS, GCP or Azure
Experience in continuous integration and continuous deployment(CI/CD) processes

Preferred Qualifications

Experience in Docker, Kubernetes or Helm Charts
Experience in machine learning platforms, like KubeFlow, MLflow or Vertex AI
Has experience with API design and implementation
Has experience using streaming tools like Kafka, AWS Kinesis, Spark streaming or Flink