
10,000+ employees
Founded 1989
💸 Finance
Finance • Consulting • Technology
EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.
🕒 April 21
🗣️🇧🇷🇵🇹 Portuguese Required
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10,000+ employees
Founded 1989
💸 Finance
Finance • Consulting • Technology
EY is a global professional services firm, widely recognized for providing audit, tax, consulting, and advisory services. It focuses on helping its clients solve complex problems and transform their businesses using data and technology. EY is committed to building a better working world by enhancing trust in financial markets and economies globally. Its services include corporate finance advisory, transaction strategy, technology consulting, and more, catering to sectors such as health, energy, finance, government, and more. EY also emphasizes sustainability and innovation in its solutions.
• Monitor the stabilization of the pipeline in Production • Oversee deployment activities • Build data pipelines, from extracting data from various available data sources to ingesting and structuring the data in the corporate Data Lake • Create PySpark jobs for data processing • Log activities in the client's official tools (Jira, Confluence, Bitbucket) • Develop and maintain decision engines using FICO DM and DMPS • Implement and execute unit tests, ensuring code quality • Collaborate with development teams on integration testing • Contribute to technical documentation and team best practices
• Degree in Statistics, Computer Science, Software Engineering, Information Systems, Physics, or related fields • Experience as a Data Engineer • Proficiency in PySpark, SQL, Databricks, Git, Hive, Hadoop, and Azure • Experience with DevOps practices and tools • Experience developing and maintaining rules in decision engines using FICO DM and DMPS • Experience configuring and customizing event flows in FICO DMPS • Experience processing and analyzing real-time events in FICO DMPS • Knowledge of the FICO platform (DMPS, Blaze, and DM components) • Knowledge of modeling and managing business rules effectively
• Food allowance • Meal voucher • Transportation allowance • Health insurance • Dental insurance • Corporate university • Gympass • Profit-sharing (PLR) • Other educational benefits
Apply Now🕒 April 12
11 - 50
🤖 Artificial Intelligence
🔒 Cybersecurity
🤝 B2B
Engenheiro de Dados especializado em PowerBI e Lakehouse no Campos Thomaz Advogados. Foco em preparar dados para dashboards e estruturação de ambientes com Microsoft.
🗣️🇧🇷🇵🇹 Portuguese Required
Spark
SQL
🕒 April 2
1001 - 5000
💸 Finance
🏦 Banking
💳 Fintech
Data Engineer supporting vehicle buying and selling solutions through integration pipelines. Collaborating with teams to build digital vehicle platforms and optimize data processes in São Paulo.
🗣️🇧🇷🇵🇹 Portuguese Required
MongoDB
Python
SQL
🕒 March 28
501 - 1000
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Data Engineer creating data pipelines for the Santander Corporate Data Lake collaborating in agile teams. The role involves using Databricks and PySpark for strategic projects.
🗣️🇧🇷🇵🇹 Portuguese Required
Apache
AWS
Azure
Hadoop
HBase
Jenkins
Postgres
PySpark
Python
Spark
🕒 March 18
1001 - 5000
🤝 B2B
Technical leader in Data & Analytics projects at Keyrus. Responsible for designing modern architectures and ensuring technical execution alignment.
🗣️🇧🇷🇵🇹 Portuguese Required
AWS
Azure
Cloud
ETL
Google Cloud Platform
🕒 March 10
11 - 50
🎯 Recruiter
🤝 B2B
Senior Data Engineer responsible for designing and implementing data pipelines and ensuring data quality in São Paulo. Focusing on data ingestion, transformation, and maintaining robust data architecture roles.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Apache
AWS
Azure
BigQuery
Cloud
ETL
Google Cloud Platform
Hadoop
Python
Spark
SQL