Data Engineer, Mid-level

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🕒 July 10

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Extractta

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

QUEM SOMOS

📋 Description

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

🎯 Requirements

• Solid experience in Data Engineering. • Proficiency in Python for building, automating and maintaining data pipelines. • Experience with 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. • Strong SQL skills. • Knowledge of Software Engineering, including development best practices, version control and Clean Code principles. • Experience with AWS cloud environments. • Experience designing and implementing data solutions in enterprise environments. • Knowledge of Data Lake, Data Warehouse and modern data architectures. • Experience with CI/CD applied to data projects. • Experience with observability and monitoring of pipelines.

🏖️ Benefits

• Competitive compensation based on experience; • Opportunity for career growth within the company and involvement in strategic projects; • Dynamic and challenging work environment; • Opportunity to work at a fast-growing company.