Wells Fargo - Dallas, TX
posted 2 months ago
Full-time - Senior
Dallas, TX
Credit Intermediation and Related Activities
About the position
Wells Fargo is seeking a Senior Big Data Software Developer to enhance analytical capabilities through automation and advanced techniques. The role focuses on designing and implementing algorithms and tools for analytics teams, collaborating with various stakeholders, and driving a culture of automation and efficiency in data management.
Responsibilities
- Standing up cutting-edge analytical capabilities, leveraging automation, cognitive and science-based techniques to manage data and models, and drive operational efficiency by offering continuous insights and improvements.
- Help in design and implementation of algorithms and tools for analytics and data scientist teams.
- Use a variety of languages, tools, and frameworks to marry data and systems together.
- Collaborate with modelers, developers, DevOps, and project managers on meeting project goals.
- Strong understanding of Python code CI/CD deployment and test automation suites.
- Drive a culture of automation, test coverage and architect for Micro Services, API, Cloud Native and Headless Architecture.
Requirements
- 8+ years of software engineering experience
- 6+ years of Scala or Java experience
- 2+ years of RESTful API design and development experience
- 5+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka, and Map
- 2+ years of experience with building, deploying, and securing cloud platforms
- 5+ years of Database experience
- Solid understanding of distributed computing
- Strong skills in big data, PySpark, HDFS and distributed computing
- Experience in creating APIs using Java and Python
- Prior banking domain skills and depth knowledge in risk & finance forecasting domain
Nice-to-haves
- A Master's degree or higher in computer science or finance
- A professional certification in technology
- Basic knowledge of industry regulations related to building technological solutions
- Knowledge and understanding of DevOps principles
- Leadership skills to drive work stream from technical aspects
- Command knowledge on story estimations, design reviews, code reviews, quality code delivery
