Data Engineer, Mid-level

Job not on LinkedIn

🕒 July 10

đŸ—ŁïžđŸ‡§đŸ‡·đŸ‡”đŸ‡č Portuguese Required

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Extractta

201 - 500 employees

Founded 2005

đŸ’Œ Consulting

📣 Marketing

☁ SaaS

Consulting ‱ Marketing ‱ 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.

📋 Description

‱ Translate business requirements into data engineering problems and solutions. ‱ Develop and implement scalable, resilient data pipelines. ‱ Build and maintain data ingestion, transformation, and provisioning processes. ‱ Contribute to the quality, performance, and governance of implemented solutions. ‱ Apply the data engineering patterns and architectures defined by the team. ‱ Work alongside multidisciplinary teams, supporting data-driven initiatives. ‱ Perform troubleshooting and optimization of data processes and environments.

🎯 Requirements

‱ Proven experience in Data Engineering. ‱ Python for building, automating, and maintaining data pipelines. ‱ PySpark for distributed data processing. ‱ Experience with Apache Airflow for pipeline orchestration. ‱ Knowledge of Amazon EMR. ‱ Experience with Kubernetes-based environments. ‱ Knowledge of Apache Kafka for data processing and integration. ‱ Proficiency in SQL. ‱ Software engineering knowledge, including best development practices, version control, and Clean Code. ‱ Experience with AWS cloud environments. ‱ Desirable: Experience designing and implementing data solutions in enterprise environments. ‱ Desirable: Knowledge of Data Lake, Data Warehouse, and modern data architectures. ‱ Desirable: Experience with CI/CD applied to data projects. ‱ Desirable: Experience with observability and monitoring of pipelines.

đŸ–ïž Benefits

‱ Competitive compensation based on experience. ‱ Opportunities for career growth within the company and participation in strategic projects. ‱ Dynamic and challenging work environment. ‱ Opportunity to work at a rapidly growing company.

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