Data Engineer

**About Fazz**
- Fazz is an ecosystem of financial services that comprise Fazz (Business account for Southeast Asia), StraitsX (Payments infrastructure for digital assets), and Modal Rakyat (Mutual cooperation funding for MSMEs) founded in 2016, as a result of a merger between PayFazz and Xfers, two Y Combinator alumni based in Southeast Asia.

Fazz provides business accounts that offer seamless payment, savings and credit functionalities, giving businesses equal opportunity to build, run, and grow. We cater to the warung and MSME in Indonesia under the brand Fazz Agen, and fast-growing startups and SMEs in Singapore and Indonesia under the brand Fazz Business.

Fazz’s mission is to make the future of finances accessible for every single business in Southeast Asia, where many MSMEs and the population are still underserved.

**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 underlie all our data pipelines and machine learning solutions. The teams’ 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, business intelligence reporting 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 / Information Systems, Computer Science, 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 setting up or configuring business intelligence tools such as Metabase, Tableau etc.
- Experience with Cloud technologies GCP or AWS (including cloud networking)
- Experience with Infrastructure as Code (e.g. using Terraform) will be an advantage

**Nice to haves**:

- Experience in data analysis
- Experience with database management system such as MySQL / Oracle / Postgres will be an advantage

Fazz is an equal-opportunity employer. Individuals seeking employment at Fazz 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.