Senior Data Engineer - Financial Services (Hybrid)

About Flip

Rafi, Luqman, and Anjar, who were college friends in Universitas Indonesia, started Flip as a project in 2015 to transfer payments to each other at a fraction of what banks would charge them. They are pioneers in the Indonesian market, with their technology now helping millions of Indonesians, both individuals and businesses, carry out bank-to-bank money transfers through a reliable and seamless app.

After five years of operations, Flip has helped Indonesians transfer money worth several trillions of rupiah and has received double-digit funding from respectable investors such as Sequoia India, Insight Partner, and Insignia. Flip’s ultimate mission is to give Indonesians access to one of the most progressive and fairest Financial Services in the world.

At Flip, we always strive to provide the fairest place for you to work, learn, and grow with talented and fun people in various opportunities to advance your career and get fair rewards. We believe that we have to treat employees, customers, and all stakeholders fairly and respectfully. Fair treatment for employees means we establish clear goals, facilitate our employees to achieve them, and value their contribution to the company with equitable benefits.

What you'll do: 

• Work closely with the Data & Engineering Team to build the whole data pipelines + warehouses from scratch
• Building and growing the team as the journey goes
• Develop necessary scripts/mini-apps to run data analysis
• Provide recommendations to improve data quality.
• Ensure and support the data architecture utilized by data scientists and analysts.
• Development of data processes for data modeling, mining, and data production.
• Giving suggestion for any data architecture for every element in organization

What you'll need: 

• Strong sense of ownership and self-starter who is target-driven and motivated
• You have led technical projects from concept, design, to delivery
• Working experience of at least 4 years with exposure to Big Data, Real-time data pipelines, ETL processes and supporting tools/framework such as Airflow, spark etc
• Experienced in Cloud Service environment, especially GCP + BigQuery. Skill in other Cloud Services is a big plus.
• Experienced third party behavior analytics tools such as Amplitude / Appsflyer / HubSpot etc
• Experienced in working with RDBMS & Non-RDBMS datastores
• In conjunction with the requirement above, excellent skills in writing efficient querying language especially SQL
• Experienced in utilizing popular Visualization Tools such as Tableau / Holistics / Metabase etc
• Skilled in Python programming
• Understand how to analyze & utilize data in order to provide value/insights for company decision making
• Good Teamwork & Communication skills