Senior Data Engineer

Há 2 horas


Manaus AM, Brasil beBeeAWS Tempo inteiro

About the Role We are seeking a skilled Professional to support the design and implementation of a large-scale data lake and analytics platform. Design, develop, and maintain data pipelines and workflows within the AWS ecosystem. Create and optimize components for the data lake using Airflow, Glue, Redshift, S3, Athena, and Iceberg. Write efficient and maintainable scripts for data ingestion, transformation, and automation. Implement Infrastructure as Code using Terraform to deploy and manage AWS services. Collaborate with cross-functional team members to ensure high-quality, performant, and reliable data delivery. Contribute to code reviews, testing improvements, and performance optimization. The ideal candidate will demonstrate expertise across the AWS ecosystem and deliver complex solutions independently while collaborating effectively within a team. Key Responsibilities: Data Engineering: Design and implement scalable data architectures, leveraging AWS services such as S3, Glacier, and DynamoDB. DevOps: Develop and maintain CI/CD pipelines, ensuring smooth deployment and monitoring of data applications. Collaboration: Work closely with data scientists, product managers, and other stakeholders to understand business requirements and deliver tailored solutions. Learning and Growth: Stay up-to-date with emerging technologies and trends in data engineering and DevOps, applying knowledge to drive innovation and improvement within the organization. Leadership: Mentor junior engineers, providing guidance and support to help them grow professionally and contribute to the team's success.


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