Data Analytics Engineer Specialist

São Paulo, São Paulo, Brazil

Applications have closed

The Fraud team oversees the day-to-day fraud management and develops new techniques to detect and prevent the potential abuse of our platform. This includes defining performance metrics, analyzing trends, identifying new fraud behaviors and modus operandi, scaling operational workflows, and designing new tools or processes to detect and prevent dishonest practices on our platform. When some fraud suspicious is detected by payments, or some partner alerts us about fraud events, Payments drive the event to the Fraud team.

We focus on building a strong culture of data-driven decision-making, and humanizing big data sits at the heart of our strategic planning. As we continue to develop impactful solutions to power the success of our business, data-driven insights are our biggest ally in navigating the fast-changing technological landscape. 

As a Data Analytics Engineer Manager, you will oversee the day-to-day business operations. This includes defining performative layers to be used by each data team. Helping the data analyst, data science and BI team have the easy way to consume data and make some analysis and discover.

We are looking for hands-on, motivated self-starters who are driven to leverage the power of using data to drive informed business decisions.

 

Job description

  • Structure all the data layers in fraud prevention team
  • Create data products to distribute layers and data inside the teams
  • Governance the entire data pipeline 
  • Structure easy process to enter new source of data
  • Monitoring all the process and guarantee the quality of the datas

Requirement

  • Availability to work in São Paulo - a hybrid working model
  • Degree holder preferably in a technical field such as Computer Science, Engineering, Statistics, etc; or Degree holder in a business related field as long as there is a strong interest in data pipeline;
  • Strong knowledge of coding
  • Data Architecture
  • Multistrategy load structure (batch and online)
  • Excellent working knowledge of data ingestion with Python, SCALA, SQL or other advanced programming languages;
  • Good communications skills in English;

JOIN US!

Tags: Big Data Computer Science Data Analytics Engineering Python Scala SQL Statistics

Perks/benefits: Team events

Region: South America
Country: Brazil
Job stats:  2  0  0

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