Wells Fargo Lead Software Engineer - Flink Java Cloud 

India, Telangana, Hyderabad 

716360853

In this role, you will:

• Lead complex technology initiatives including those that are companywide with broad impact
• Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
• Design, code, test, debug, and document for projects and programs
• Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
• Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
• Lead projects, teams, or serve as a peer mentor

Required Qualifications:

• 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Desired Qualifications:

• 12+ years of Software Engineering experience and expertise in Java/J2EE frameworks
• Familiarity with frameworks like Apache Flink, Airflow/Dagster,
• Experience of cloud platforms like AWS, GCP, or Azure.
• Experience with ETL platforms and migration strategies.
• Prior experience in leading teams or projects in data engineering capacity.

Job Expectations:

• Location: Bengaluru or Hyderabad
• Lead the migration of legacy Ab Initio pipelines to a modern, scalable Flink-based architecture.
• Design and implement POCs for orchestration tools such as Apache Airflow and evaluate their fit for production use.
• Architect and optimize batch processing workflows using Apache Spark and other distributed computing frameworks.
• Develop and maintain data storage solutions using Parquet format on S3, integrated with cataloging systems like Apache Iceberg.
• Collaborate with cross-functional teams including data scientists, analysts, and platform engineers to ensure seamless data delivery.
• Mentor junior engineers, conduct code reviews, and enforce engineering best practices.
• Stay current with industry trends and emerging technologies in data engineering and cloud-native architectures.

Wells Fargo Recruitment and Hiring Requirements:

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.