#About the Team

Fazz’s Data Engineering teams are 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. Data engineering forms the foundation to ensure that precious 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, and that data is only accessed by those who are authorised to do so.
• As a Lead Data Engineer (Data Infra & Ops), you will work with and lead other data engineers to develop our data infrastructure, and create processes to facilitate the smooth operation of our data pipelines. You will work with the team to ensure 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 for this role 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)
• Develop, maintain and optimise processes for ensuring smooth data engineering operations
• Research into data engineering best practices and make continual improvements to Fazz’s data infrastructure and processes

# Roles and Responsibilities

• 4-6 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 (Optional)

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

Interview will be conducted in English, and please provide an English CV/resume for further process.