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The Data Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities, handling large and complex data sets, building self-service dashboards, using visualization tools, and generating insights to solve business challenges.

Design, develop, and maintain scalable data pipelines using Scala, DBT, and SQL. Implement and optimize distributed data processing solutions using MPP databases and technologies. Build and deploy machine learning models using distributed processing frameworks such as Spark, Glue, and Iceberg. Collaborate with data scientists and analysts to operationalize ML models and integrate them into production systems. Ensure data quality, reliability, and integrity throughout the data lifecycle. Continuously optimize and improve data processing and ML workflows for performance and scalability.

The Master Data Management Leader will be responsible for defining, designing, and building dimensional databases to meet business needs. They will also assist in the application and implementation of data standards and guidelines, coding structures, and data replication to ensure access to and integrity of data sets.