Senior Data Engineer

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🕒 6 days ago

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Extractta

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

QUEM SOMOS

📋 Description

• Translate business requirements into data engineering problems and solutions. • Design, develop, and implement scalable, resilient data pipelines. • Build and maintain data ingestion, transformation, and delivery processes. • Ensure the quality, performance, and governance of implemented solutions. • Contribute to the definition of data engineering architectures and standards. • Work closely with cross-functional teams to support data-driven initiatives. • Perform troubleshooting and optimization of data processes and environments.

🎯 Requirements

• Strong experience in Data Engineering. • Proficiency in Python for building, automating, and maintaining data pipelines. • Proficiency in PySpark for distributed data processing. • Experience with Apache Airflow for pipeline orchestration. • Familiarity with Amazon EMR. • Experience with Kubernetes-based environments. • Knowledge of Apache Kafka for data processing and integration. • Strong SQL skills. • Software engineering knowledge, including best development practices, version control, and Clean Code. • Experience with AWS cloud environments. • Preferred: • 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; • Opportunities for career growth and involvement in strategic projects; • Dynamic and challenging work environment; • Opportunity to work at a fast-growing company.