
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.
🕒 May 9
🗣️🇧🇷🇵🇹 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.
• Design, develop and implement data solutions on AWS using Glue, Spark and Redshift. • Collaborate with data engineers and data scientists to understand data requirements and translate them into scalable data pipelines. • Build and manage ETL processes using AWS Glue to extract, transform and load data from multiple sources. • Optimize data processing workflows in Apache Spark to ensure efficient data handling and analysis. • Develop and maintain data models and schemas in Amazon Redshift to support reporting and analytics. • Monitor and troubleshoot data pipelines to ensure data quality and integrity. • Document data processes, architecture and best practices for knowledge sharing and compliance.
• Bachelor's degree in Information Systems, Computer Science, Data Engineering or a related field • Advanced/Fluent English - C2 (there will be contact with an international client) • Proven experience in AWS development with a focus on Glue, Spark and Redshift • Proficiency in programming languages such as Python or Scala for data processing • Strong understanding of data warehousing concepts and best practices • Experience with SQL and database management systems is required.
• Food allowance • Meal voucher • Transportation voucher • Health insurance • Dental assistance • Corporate University • Other educational benefits • Wellhub • Profit sharing (PLR) • And much more.
Apply Now🕒 May 5
5001 - 10000
💳 Fintech
🏦 Banking
🤝 B2B
Data Engineer developing data models and supporting teams for analytics projects at PagBank. Implementing best practices in data governance and quality management.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Amazon Redshift
AWS
Cloud
ETL
SQL
🕒 May 4
11 - 50
🏢 Enterprise
Senior Data Engineer responsible for developing scalable AI solutions at Vivo. Collaborating with cross-functional teams to optimize data processing and integration.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Ansible
Apache
Azure
Cloud
Docker
ETL
GRPC
JavaScript
Kafka
Kubernetes
MongoDB
Node.js
NoSQL
Python
Redis
Spark
SQL
Terraform
🕒 May 4
201 - 500
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
Data Architect at ioasys responsible for developing scalable data solutions and guiding teams. Collaborating with clients to meet technical and business objectives.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
Amazon Redshift
Apache
AWS
Azure
Cloud
DynamoDB
ETL
PySpark
Python
Terraform
🕒 April 30
501 - 1000
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Analista de Engenharia de Dados developing and optimizing data pipelines in a collaborative and dynamic environment. Ensuring quality, security, and availability of data across systems and analytical products.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
AWS
Azure
Cloud
Google Cloud Platform
Pandas
PySpark
Python
SQL
🕒 April 30
501 - 1000
🤖 Artificial Intelligence
🤝 B2B
☁️ SaaS
Data Engineering Analyst optimizing data pipelines for analytical products at Inmetrics. Collaborating in a dynamic, results-oriented environment focused on data-driven decision-making.
🗣️🇧🇷🇵🇹 Portuguese Required
Airflow
AWS
Azure
Cloud
Google Cloud Platform
Pandas
PySpark
Python
SQL