Cloud Data Engineer, Snowflake

Role Overview

• 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
• Builds applications that integrate with AI, including knowledge base management and document processing.
• 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
• Ensures data is prepared, arranged and ready for each defined business use case
• Designs and deploys frameworks and micro services to serve data assets to data consumers
• Collaborates and aligns with technical and non-technical stakeholders to translate customer needs into Data Design requirements, and work to deliver world-class visualizations, data stories while ensuring data quality and integrity
• Provides consultation to all areas of the organization that plan to use data to make decisions
• Supports any team members in the development of such information delivery and aid in the automation of data products
• Acts as trusted adviser and partner to business leaders; assisting in the identification of business needs & data opportunities, understanding key drivers of performance, interpreting business case data drivers, turning data into business value, and participating in the guidance of the overall data and analytics strategy
• Ensures compliance with risk management programs, rules and regulations, and cybersecurity practices
• Identifies opportunities for and supports process improvements
• Applies disciplined change management practices

Requirements

• 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

Tech Stack

• AWS
• BigQuery
• Cloud
• Cyber Security
• Kafka
• PySpark
• Python
• Scala
• SQL
• Terraform

Benefits

• Paid Vacation/Sick Time
• 401K with Company Match
• Medical, Dental and Vision Benefits
• Disability Benefits
• Health Savings Account
• Flexible Spending Account
• Life Insurance
• Parental Leave
• Employee Assistance Program
• Associate Volunteer Program