Perform公司正在招聘数据工程师职位，地点：巴西 | LinkedIn

We are seeking a Data Engineer to join our product development team. In this role, you will design, build, and support data migrations, pipelines, and APIs that power web and mobile software applications. You will work closely with engineers and stakeholders in a collaborative, fast-paced environment. This is a hands-on technical role focused on delivering reliable, production-ready data solutions. This role focuses on building data solutions that support core business operations and application workflows, not analytics or data science use cases. What You’ll Do: Collaborate with engineers to design and execute data migrations between systems. Perform data mapping, transformation, validation, and reconciliation. Ensure data accuracy and completeness across environments. Build and maintain production data pipelines and APIs. Develop scripts and services for data movement and validation. Model data and analyze source and target schemas. Write complex SQL queries and work with relational and NoSQL databases. Identify and resolve data quality issues during migration. Support the full lifecycle of delivery: design, development, deployment, testing, monitoring, and ongoing support. Contribute to discussions around data quality, test strategy, and automation. Integrate and manage data flows across multiple systems and applications. Design and implement data models that reflect business logic and support application use cases. Design and execute complex data migrations between systems, ensuring data integrity and consistency.

3+ years of experience in a Data Engineering role. Experience working with transactional or financial data is a plus. At least 5 years of experience delivering production software solutions. Proficient in Python with experience shipping production pipelines. Strong hands-on experience with SQL and NoSQL databases (SQL Server and MongoDB preferred). Experience building scripts or services for data movement and validation. Familiar with Azure data tools (such as Azure Data Factory, Azure Data Lake, Microsoft Fabric) or comparable platforms. Experience using Git or other distributed version control systems. Familiar with automated deployments and continuous delivery practices. Solid understanding of REST APIs, JSON, testing, security, and performance best practices. Bachelor’s degree in Computer Science or related field, or equivalent experience. Strong verbal and written communication skills.

Since 2005, Perform’s engineers have been helping companies scale their apps and their teams. We were near-shoring before it was even a term and have worked with 100s of clients along the way.