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Senior Software Engineer

https://www.wellsfargo.com/ Logo

Wells Fargo

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Wells Fargo is seeking Senior Software Engineer – Credit Risk Technology (Data & GenAI)

Job Responsibility:

  • Lead moderately complex initiatives and deliverables within technical domain environments
  • Contribute to large scale planning of strategies
  • Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
  • Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
  • Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
  • Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
  • Lead projects and act as an escalation point, provide guidance and direction to less experienced staff

Requirements:

  • 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4+ years of hands‑on experience building ETL/ELT pipelines on big‑data platforms such as Apache Spark, Hadoop, and Hive
  • 4+ years of data engineering experience using PySpark/Python, Hadoop ecosystem tools, Hive, and/or Scala
  • Strong experience (4+ years) with RDBMS and SQL‑based data modeling
  • 3+ years of experience with UNIX/Linux environments and Shell scripting
  • 2+ years of experience leading technical initiatives, mentoring engineers, and providing solution‑level guidance
  • Solid understanding of data engineering best practices, including performance tuning, data quality, testing, and observability
  • Experience or strong interest in Generative AI / AI‑driven data solutions, including working with LLMs, AI pipelines, or intelligent analytics use cases.

Nice to have:

  • Design, develop, and maintain large‑scale data engineering solutions for credit risk data using modern big‑data and distributed computing frameworks
  • Lead data platform modernization initiatives, including performance optimization, scalability, reliability, and security
  • Build and optimize ETL/ELT pipelines for structured and semi‑structured data using Spark, Hadoop, and cloud‑based technologies
  • Develop robust data models, analytics layers, and reporting datasets to support credit risk analysis and regulatory reporting
  • Apply Generative AI and AI/ML techniques (e.g., LLMs, embeddings, intelligent data enrichment, automated insights, anomaly detection) to enhance risk analytics, data quality, and operational efficiency
  • Collaborate closely with Credit Risk, Analytics, and Business stakeholders to translate business requirements into technical architectures and solutions
  • Review code, enforce best practices, and provide technical guidance and mentorship to junior team members
  • Contribute to architectural decisions, technology selection, and long‑term platform roadmaps
  • Ensure solutions meet enterprise standards for governance, security, auditability, and regulatory compliance
  • Experience with batch processing and scheduling tools such as Autosys
  • Hands‑on experience with Dremio or similar data virtualization/query acceleration platforms
  • Experience building data solutions on cloud platforms (AWS, Azure, or GCP), including cloud storage, compute, and orchestration services
  • Exposure to ML/AI platforms, MLOps concepts, or AI governance frameworks in regulated environments
  • Experience working in financial services, risk, or regulated data domains

Additional Information:

Job Posted:
May 13, 2026

Expiration:
May 13, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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