Regions Bank ir finanšu iestāde, kas apkalpo patērētājus un uzņēmumus, nodrošinot banku pakalpojumus, aktīvu pārvaldīšanu, patēriņa kreditēšanu un hipotekāros pakalpojumus. Tās darbība aptver gan privātpersonu, gan uzņēmumu banku pakalpojumus, un komandas palīdz klientiem pārvaldīt finanses, saņemt kredītu un plānot nākotni. Uzņēmums uzsver arī iekļaujošu un vērtībās balstītu darba vidi, iesaisti kopienas dzīvē, kā arī atbalstu militārpersonām un veterāniem. Darba meklētājiem Regions Bank piedāvā iespējas banku darbības, finanšu pakalpojumu, kreditēšanas, tehnoloģiju un uzņēmuma funkciju jomās, īpašu uzmanību pievēršot darbinieku attīstībai un karjeras izaugsmei.
Cloud Data Engineer, AI Platform — Regions Bank (Hybrid, Hoover, AL)
Build cloud data pipelines and AI applications for Regions Bank, supporting machine learning, analytics, and enterprise data systems. The role is hybrid in Hoover, Alabama.
Apraksts
- Design and maintain data systems for analytics and data products.
- Create pipelines to gather, organize, and store data in Regions’ big data environments.
- Develop reliable, testable data movement and transformation programs with cloud tools such as Glue, Step Functions, Snowflake, Kafka, and SageMaker.
- Create AI-integrated applications for tasks such as knowledge base management and document processing.
- Prepare and organize data for defined business uses.
- Build reusable infrastructure as code for data pipelines and new cloud infrastructure.
- Help engineer features and deploy machine learning and AI models.
- Work with software developers, database architects, data analysts, and data scientists on data initiatives.
- Maintain consistent, effective data delivery architecture across projects.
- Follow risk management programs, applicable rules and regulations, and cybersecurity practices.
- Identify and contribute to process improvements.
- Follow disciplined change management practices.
- Keep developing the knowledge and skills needed for the role.
Prasības
- Ph.D. plus two years of experience in a quantitative, analytical, or STEM field; a master’s degree plus four years in a quantitative, analytical, STEM, or related technical field; or a bachelor’s degree plus six years in a quantitative, analytical, STEM, or related technical field.
- Three years of professional programming experience with Python, Scala, SQL, and Terraform.
- Three years of professional experience with cloud big data technologies such as EMR, AWS Glue, BigQuery, or Snowflake.
- Ability to interpret applicable rules, regulations, and industry guidance and ensure compliance.
- Experience building data solutions at scale.
- Experience with cloud technologies and migrations.
- Experience designing and building relational data structures across multiple environments.
- Experience with cloud-based orchestration tools.
- Experience with data modeling methods, including dimensional and time-series modeling such as star schemas or Data Vault.
- Experience applying DevOps principles, CI/CD, and the software development lifecycle.
- Experience with NoSQL databases.
- Experience leading technical projects from start to finish.
- Experience mentoring junior associates on best practices.
- Experience operating cloud services at enterprise scale, including data engineering with private networking and zero-trust computing.
- Track record of delivering operational data solutions, including data assets ready for reporting and modeling.
- Substantial experience working with senior executives to use data, reports, and visualizations for strategic and operational decisions.
- Ability to transform and integrate complex data from multiple sources into accessible, clear, usable data assets and frameworks.
- Strong background synthesizing data and analytics in a large, complex, highly regulated environment.
- Strong written and oral presentation skills.
- Strong technical foundation in databases and business intelligence.
- Must be currently authorized to work full-time in the United States; Regions does not sponsor work visas.
Priekšrocības
- Eligibility to participate in the Long Term Incentive Plan.
- Paid vacation and sick time.
- 401(k) with company match.
- Medical, dental, and vision coverage.
- Disability benefits.
- Health Savings Account.
- Flexible Spending Account.
- Life insurance.
- Parental leave.
- Employee Assistance Program.
- Associate Volunteer Program.