
201 - 500 employees
Founded 2005
đŒ Consulting
đŁ Marketing
âïž SaaS
Consulting âą Marketing âą SaaS
Extractta is a company proficient in information technology, dedicated to continually reinventing itself to support the transformation processes of its clients. It emphasizes a deep understanding of client needs and provides ongoing guidance in employing the best products and solutions, showcasing its expertise in technologies such as MongoDB, AWS, Salesforce, and data integration.
đ July 10
đŁïžđ§đ·đ”đč Portuguese Required
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201 - 500 employees
Founded 2005
đŒ Consulting
đŁ Marketing
âïž SaaS
Consulting âą Marketing âą SaaS
Extractta is a company proficient in information technology, dedicated to continually reinventing itself to support the transformation processes of its clients. It emphasizes a deep understanding of client needs and provides ongoing guidance in employing the best products and solutions, showcasing its expertise in technologies such as MongoDB, AWS, Salesforce, and data integration.
âą Translate business requirements into data engineering problems and solutions. âą Develop and implement scalable, resilient data pipelines. âą Build and maintain data ingestion, transformation, and provisioning processes. âą Contribute to the quality, performance, and governance of implemented solutions. âą Apply the data engineering patterns and architectures defined by the team. âą Work alongside multidisciplinary teams, supporting data-driven initiatives. âą Perform troubleshooting and optimization of data processes and environments.
âą Proven experience in Data Engineering. âą Python for building, automating, and maintaining data pipelines. âą PySpark for distributed data processing. âą Experience with Apache Airflow for pipeline orchestration. âą Knowledge of Amazon EMR. âą Experience with Kubernetes-based environments. âą Knowledge of Apache Kafka for data processing and integration. âą Proficiency in SQL. âą Software engineering knowledge, including best development practices, version control, and Clean Code. âą Experience with AWS cloud environments. âą Desirable: Experience designing and implementing data solutions in enterprise environments. âą Desirable: Knowledge of Data Lake, Data Warehouse, and modern data architectures. âą Desirable: Experience with CI/CD applied to data projects. âą Desirable: Experience with observability and monitoring of pipelines.
âą Competitive compensation based on experience. âą Opportunities for career growth within the company and participation in strategic projects. âą Dynamic and challenging work environment. âą Opportunity to work at a rapidly growing company.
Apply Nowđ July 10
Engenheiro(a) de Dados SĂȘnior atuando em sustentação de projetos de dados com forte conhecimento tĂ©cnico e perfil proativo. Contribuindo para a evolução de soluçÔes e melhoria contĂnua dos processos.
đŁïžđ§đ·đ”đč Portuguese Required
MongoDB
Python
đ July 10
Data Engineer managing data pipelines and model data solutions while supporting engineering and business teams at Intelipost. Contributing to data-driven discussions and implementing engineering best practices.
đ§đ· Brazil â Remote
đ° Series B on 2020-12
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
đŁïžđ§đ·đ”đč Portuguese Required
Airflow
AWS
Azure
Cassandra
DynamoDB
Google Cloud Platform
MongoDB
SQL
đ July 10
Data Engineer optimizing scalable data pipelines for Sinch's global customer engagement platform. Collaborating across teams to deliver effective data-driven solutions.
đ§đ· Brazil â Remote
đ° $48.8M Post-IPO Debt - Sinch on 2024-09
â° Full Time
đĄ Mid-level
đ Senior
đ° Data Engineer
Airflow
AWS
Cloud
Docker
ETL
Google Cloud Platform
Python
Spark
SQL
đ July 9
Senior Data Engineer leading the definition and implementation of data architecture. Responsible for quality, security, and performance optimization of data solutions.
đŁïžđ§đ·đ”đč Portuguese Required
Airflow
Amazon Redshift
AWS
Python
Spark
SQL
đ July 8
Data Architect Specialist working on strategic data architecture transformation projects with global leadership interactions. Focus on improving data governance, scalability, and strategic data management.
đŁïžđ§đ·đ”đč Portuguese Required
AWS
Azure
Cloud
ETL
Google Cloud Platform