Data Analytics Engineer Senior Associate| OPS
São Paulo, São Paulo, Brazil
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.
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
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs