Senior Big Data Specialist

Há 10 horas

Manaus AM, Brasil beBeeDataEngineer Tempo inteiro

Data Engineer Role We are seeking an experienced Data Engineer to join our team. Job Description: A Data Engineer designs, builds, and maintains large-scale data systems that support business intelligence, machine learning, and data analytics. The role involves integrating diverse data sources, developing connectors, implementing data quality frameworks, and creating secure data handling workflows. Key Responsibilities: Design and build data pipelines for AI processing Develop connectors and adapters for enterprise systems Implement data quality frameworks and validation systems Create secure data handling workflows Build data transformation pipelines for AI models Establish data governance and lineage tracking for compliance and audit requirements Optimize data processing workflows for scale and performance Collaborate with data scientists and AI engineers Requirements: 3+ years experience with data engineering in enterprise environments Strong proficiency in Python and SQL for data processing and transformation Experience with ETL/ELT tools and data integration patterns Knowledge of enterprise data standards and APIs (REST, GraphQL, SOAP) Understanding of data privacy, security, and access control best practices Experience with cloud platforms (AWS, Azure, GCP) and data infrastructure Familiarity with containerization and orchestration tools Bachelor's degree in Computer Science, Engineering, Data Science, or related field Benefits: This is a challenging yet rewarding role that offers the opportunity to work on complex data engineering projects. Our ideal candidate will have a strong passion for data engineering, excellent problem-solving skills, and the ability to collaborate effectively with cross-functional teams. About Us: We are a forward-thinking organization that values innovation and continuous improvement. Our goal is to create a seamless user experience through efficient data systems and cutting-edge technology.

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