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
1. Influential products: What we make are meaningful products that create values for society and defend against frauds.
2. Emphasize self-growth: We encourage technical community activities, subsidize tickets for conferences and workshops so that learning is continuously supported by the company.
3. Unleash your talent: We respect the professional opinions of everyone, encourage team members to discuss with each other, and make awesome products together.
4. 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 Analytics Engineer in Gogolook, you will be responsible for developing and maintaining efficient data pipelines. Additionally, you will collaborate closely with cross-functional teams to define data requirements and strategy, ensuring the accuracy, integrity, and quality of our data.
In this role, you will have the opportunity to apply your engineering skills to drive business growth by transforming complex data into actionable insights. Your expertise in analytics and data-driven decision-making will help shape our organization's data-driven culture. If you thrive in a collaborative environment and are passionate about leveraging analytics engineering to make a substantial impact, we invite you to join our team as an Data Analytics Engineer.
Responsibilities
- Develop and maintain data pipelines for efficient data collection and processing.
- Collaborate with data analysts and data product managers to collect business requirements, define successful analytics outcomes, and design data models.
- Ensure data accuracy and quality across all upstream and downstream data pipelines.
- Establish a robust data governance framework and foster a data-driven culture.
Minimum qualifications
- Minimum of 2 years of hands-on software development experience in languages, including Python, Scala, Java, Golang, etc.
- Proficiency in developing robust data pipelines, including data collection and ETL (Extract, Transform, Load) processes.
- Strong expertise in SQL and experience in optimizing the performance of relational database management systems(RDBMS) to ensure efficient data retrieval and processing.
- Design and develop analytics tools that leverage the data pipeline to provide valuable insights into customer needs, operational efficiency, and key business performance metrics.
- Thorough understanding of distributed systems, including Hadoop, Presto, Spark, etc.
Preferred qualifications
- Experience in utilizing cloud data warehouse solutions, including Snowflake, BigQuery, and Redshift.
- Experience working with cloud services, including AWS, GCP, and Azure.
- Experience in developing data transformations using DBT(Data Build Tool).
- Experience in establishing and implementing data governance practices.
- Solid understanding of basic mathematics, including statistics and experimental design.