Cloud Data Engineer [On-Site, Birmingham]

Regions Bank•Hoover, AL

1d•Onsite

About The Position

At Regions, the Cloud Data Engineer supports the Data and Analytics organization by assisting in the design, optimization, and development of data pipelines and machine learning models. The Cloud Data Engineer works on cross functional teams to develop the reusable Infrastructure as Code (IaC) to build data pipelines, create new Cloud Infrastructure, and support feature engineering and deployment of machine learning and Artificial Intelligence (AI) models. This role supports software developers, database architects, data analysts, and data scientists on data initiatives and ensures optimal data delivery architecture is consistent throughout ongoing projects.

Requirements

Master's degree in quantitative/analytical/STEM field
Or Bachelor's degree and two (2) years of experience
Ability to interpret and ensure compliance with applicable rules, regulations, and industry guidance
Experience building data solutions at scale
Experience with cloud technologies and migrations
Experience designing and building relational data structures in multiple environments
Experience with cloud-based orchestration tools
Experience with Data Modeling techniques including dimensional and time series modeling such as Star Schemas or Data Vault
Experience with DevOps principals, CI/CD, and Software Development Lifecycle
Experience with No-SQL databases
Experience working with cloud services at an enterprise scale, including data engineering with private networking and zero-trust computing.
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 communication skills through written and oral presentations
Strong technical background including database and business intelligence skills

Nice To Haves

Background in Big Data Engineering and Advanced Data Analytics
Experience developing solutions for the financial services industry
Experience in Agile Software Development
Prior banking or financial services experience

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
Assists with building 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.
Ensures data is prepared, arranged and ready for each defined business use case
Continuously seeks opportunities for growing knowledge and skills as it relates to daily tasks
Ensures compliance with risk management programs, rules and regulations, and cybersecurity practices
Identifies opportunities for and supports process improvements
Applies disciplined change management practices