Partners with Regions Technology partners to Design, Build, and Maintain the data-based structures and systems in support of Data and Analytics and Data Product use cases
Builds data pipelines to collect and arrange data and manage data storage in Regions’ big data environments
Builds robust, testable programs for moving, transforming, and loading data using cloud-based Big Data tools such as Glue, Step-Functions, Snowflake, Kafka, and Sagemaker
Designs and implements event-based architectures for streaming data
Coordinates design and development with Data Products Partners, Data Scientists, Data Management, Data Modelers, and other technical partners to construct strategic and tactical data stores
Provides consultation to all areas of the organization that plan to use data to make decisions
Acts as trusted adviser and partner to business leaders; assisting in the identification of business needs & data opportunities

Ph.D. and four (4) years of experience in a quantitative/analytical/STEM field
Or Master’s degree and six (6) years of experience in a quantitative/analytical/STEM field or technical related field
Or Bachelor's degree and eight (8) years of experience in a quantitative/analytical/STEM field or technical related field
Five (5) years of working programming experience in Python/PySpark, Scala, SQL, and Terraform
Five (5) years of working experience in cloud-based Big Data Technology such as Elastic Map Reduce (EMR), AWS Glue, BigQuery, or Snowflake

Senior Data Engineer – Cloud & AI Platform

Key skills