Data Engineer (Data Infra & Ops)
Taipei
Fazz Financial Group
Fazz offers an online business account to help your company grow faster, by providing access to credit, payment, corporate cards, savings and more.About the Team
FFG’s Data Engineering team is responsible for creating and maintaining the infrastructure that runs the company’s data pipeline, and optimizing the flow and collection of data for the critical business analytics and AI/data-driven solutions. The success of the team relies on the high engineering standard and the adoption of cutting-edge technology that empowers the organization to be agile. FFG’s data engineering is the foundation to ensure that raw data is being properly stored and curated so that value can be derived from them.
Roles and Responsibilities
- The Data Infra and Ops team, which is part of the data engineering team, is responsible for architecting the Group’s data infrastructure that underlies all our data pipelines and machine learning solutions. The team’s mission is to achieve maximum efficiency and stability of the entire data infrastructure.
- As a Data Engineer (Data Infra & Ops), you will work alongside other data engineers to ensure the smooth running of all our data pipelines, and that accurate data is available in a timely manner for management to make informed decisions, operational teams to track their metrics, and data scientists to create and run machine learning models. The responsibilities include:
- Create and maintain infra for ETL pipelines, data warehouse, and ML model deployments
- Create active and passive monitoring for data infrastructure (alerts, usage dashboards, etc)
- Manage access control to data infrastructure
What we’re looking for
- 1 - 3 years of Data Engineering, Software Engineering, and/or DevOps Experience
- BS/MS Degree in any relevant major. (ex: IT, Computer Science, Quantitative finance, etc)
- Solid algorithm and data structure knowledge.
- Excellent SQL query skills
- Experience with data warehouse solutions such as Redshift or BigQuery, preferably with experience configuring such solutions
- Experience with setting up or configuring data pipeline tools such as Airflow, Cloud Composer, DBT, etc.
- Experience with a database management systems such as MySQL / Oracle / Postgres will be an advantage
- Experience with Cloud technologies GCP or AWS (including cloud networking) will be an advantage
Nice to haves
- Experience in data analysis
- Knowledge of commercial reporting tools and technologies will be an advantage
Fazz Financial Group is an equal opportunity employer. Individuals seeking employment at Fazz Financial Group will be considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, or any other characteristic protected by applicable laws.
By submitting your application, you agree that Fazz Financial Group may collect your personal data for recruiting, regional organization planning, and related purposes.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow AWS BigQuery Business Analytics Computer Science Data analysis Data pipelines DevOps Engineering ETL Finance FinTech GCP Machine Learning ML models MySQL Oracle Pipelines PostgreSQL Redshift SQL
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