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Data Engineer (Data Warehouse)

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About Fazz Financial Group
 
Fazz Financial Group is a digital financial services group founded in 2016. It is based in Southeast Asia, and is the holding group for over 10 FinTech startups, which includes PayFazz, Xfers, Modal Rakyat, StraitsX, and others.
 
Fazz Financial Group’s mission is to enable financial access for everyone, especially within Southeast Asia, where 70% of its population is underserved.
 
Fazz Financial Group has headquarters in Singapore and Indonesia, with 600 staff spread across regional offices in Malaysia, Taiwan, and Vietnam. We are proud to be local and knowledgeable about the region, giving an intimate understanding of Southeast Asia’s financial needs.
 
As a local group born and bred in Southeast Asia, companies within Fazz Financial Group are among the first Indonesian startups, and one of the many Singaporean startups to be seeded by the prestigious Y-Combinator programme. We are backed by  both global and local investors including Insignia Venture Partners, B Capital, BRI Ventures, and many others.
 
We know how important our mission is to improving the livelihoods of millions of people in Southeast Asia. That's why we're looking for passionate and driven people to join us to accelerate financial access for everyone.
 
Head to our website to get to know us better: https://fazzfinancial.com/

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 Warehouse team, which is part of the data engineering team, is responsible for designing and maintaining our data warehouse, as well as creating optimized data pipelines to populate the data warehouse.
  • As a Data Engineer (Data Warehouse), you will work alongside other data engineers to organize our data into data warehouses, create data pipelines that will pull data from production databases into our data lake, as well as transform the data for data analytics and other use cases. The responsibilities include:
  • Design data warehouse structure for data analytics and data science requirements
  • Develop and maintain ETL pipelines to populate data in data warehouses

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)
  • Excellent SQL query skills
  • Experience with using data warehouse solutions such as Redshift or BigQuery
  • Experience with writing data pipelines using tools such as Airflow
  • Experience with refactoring relational databases is an advantage

Nice to haves

  • Experience in data analysis
  • Knowledge of commercial reporting tools and technologies will be an advantage
We love reviewing all the applications we receive, but unfortunately, we may not be able to get back to everyone individually.  If we’d like to move forward with your application, we’ll definitely be in touch!

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.
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Fazzfinancial Fazzfinancial
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Jenis kontrak
Full Time
Lokasi
Indonesia
Tanggal posting
10 Mei, 2022