Degree in Computer Science, Engineering, or a related field.
Strong programming skills in Java or Python (or other JVM-based languages)
Strong understanding of data modeling, SQL, and NoSQL databases
Strong focus on data quality, validation, and monitoring practices
Experience working with large-scale and time-series datasets in financial contexts, with an understanding of their structure and common data quality challenges
Experience building and maintaining production data pipelines or data-intensive systems, with focus on reliability and performance
Ability to troubleshoot and optimize production data systems
Experience with workflow orchestration and data pipeline scheduling tools
Solid understanding of financial data structures and concepts, with the ability to model and validate financial data accurately
Strong problem-solving skills and attention to detail.
Professional proficiency in English.

Bonus Points

Data Engineer LATAM

Summary