Security-Cleared Data Engineer for Federated Data Platforms
Summary
Designs and builds secure, federated data platforms for an intergovernmental organization using Python, Spark, and Kafka to create scalable ETL/ELT pipelines and robust data models.
WLG seeks a Data Engineer to evolve the data architecture for an international intergovernmental organization. You will design robust data models and ontologies and build high-performance ETL/ELT pipelines using Python, Spark and Kafka to ensure scalable, semantically interoperable data platforms.
Responsibilities include assessing data integrity, transforming data across formats, applying governance, metadata management and data quality frameworks within a federated environment.