Data Engineeer

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.

Primary Responsibilities

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

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

Requirements

Bachelor's degree in Business or a technical related field

Three (3) years of data-oriented experience including experience managing data and analytics resources

Preferences

Prior banking or financial Services experience

Experience developing solutions for the financial services industry

Background in Big Data Engineering and Advanced Data Analytics

Skills and Competencies

Experience with python and SQL

Experience with Snowflake, AWS, or other cloud technologies

Experience building data solutions at scale

Experience designing and building relational data structures in multiple environments

Proven record of accomplishment 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