Data Engineer - On-Site see locations

Overview

Thank you for your interest in a career  Regions, associates deserve more than just a job. We offer performance-driven individuals a place to build a career with opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.

At Regions, the Data Engineer focuses on the evaluation, design, and execution of data structures, processes, and logic to deliver business value through operational and analytical data assets. The Data Engineer uses advanced data design and technical skills to work with business subject matter experts to create enterprise data assets utilizing state of the art data techniques and tools.

• 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 environment
• Builds robust, testable programs for moving, transforming, and loading data using big data tools such as Spark
• 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 leads—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

• Bachelor s degree and six (6) years of experience in a quantitative/analytical/STEM field or technical related field
• Or Master’s degree and four (4) years of experience in a quantitative/analytical/STEM field or technical related field
• Or Ph.D. and two (2) years of experience in a quantitative/analytical/STEM field
• Three (3) years of working programming experience in Python/PySpark, Scala, SQL
• Three (3) years of working experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka

• Background in Big Data Engineering and Advanced Data Analytics
• Experience developing solutions for the financial services industry
• Experience in Agile Software Development
• Experience or exposure to cloud technologies and migrations
• Prior banking or financial services experience

• Experience building data solutions at scale
• Experience designing and building relational data structures in multiple environments
• Experience with Dev Ops principals, CI/CD, and Software Development Lifecycle
• Experience with No-SQL databases
• Experience with large-scale data Lake houses at Enterprise scale
• Proven record of delivering operational data solutions including Report and Model Ready Data Assets
• Significant experience working with senior executives in the use of data, reporting and visualizations to support strategic and operational decision making
• Strong ability to transform and integrate complex data from multiple sources into accessible, understandable, and usable data assets and frameworks
• Strong background in synthesizing data and analytics in a large (Fortune 500), complex, and highly regulated environment
• Strong technical background including database and business intelligence skills
• Strong communication skills through written and oral presentations

• Strong experience with SQL databases, including development and support of SSIS/SSRS…