Mid-Level Data Engineer

Há 3 dias


Ituiutaba, Brasil Ntconsult Tempo inteiro

The company: We are a global custom software development and IT project staffing organization without geographic restrictions; we operate globally, navigating technology and business challenges with expertise.Our U.S. headquarters are in San Diego, California and we also have strategically located development centers in Brazil, Mexico, Peru, and Uruguay.Our Latin America headquarters are based in Porto Alegre, Brazil, with a branch in São Paulo.For over two decades, we have been globally recognized in the software and innovation market for delivering projects with added value, crafted by agile teams of skilled professionals.Check out our international page at:The project: We are looking for an exceptional Data Engineer for this fully remote opportunity to work with a US-based client in the Bank Investments services industry.You will design, develop, and support data pipelines and ETL processes for proprietary applications.This role focuses on data engineering fundamentals, including data transformation, database design, and analytics support.Responsibilities:Develop and maintain data pipelines and ETL processes using C# (.NET) and SQL.Assist in designing and implementing data models and database structures.Perform data analysis to support business decisions and reporting needs.Collaborate with cross-functional teams to understand data requirements and deliver solutions.Provide production support for data systems, including monitoring, troubleshooting, and resolving issues.Participate in evening release activities, including deployment validation and post-release support.Ensure data quality, integrity, and security across systems.Document processes, workflows, and technical specifications.Requirements:Proficiency in C# (.NET) for backend development and data processing.Strong knowledge of SQL for querying, data manipulation, and performance optimization.Understanding of data engineering concepts such as ETL, data warehousing, and data pipelines.Experience with data analysis using tools like Excel, Power BI, or Python (preferred).Familiarity with version control systems (e.g., Git).Strong problem-solving skills and attention to detail.Excellent communication and collaboration abilities.Preferred skills:Exposure to cloud platforms (e.g., Azure, AWS, GCP).Experience with data visualization tools.Knowledge of Agile development methodologies.



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