Senior Data Engineer (ETL-Informatica PowerCenter|IICS/Data Integration with GenAI tools & Cloud Platforms)

About this role: Wells Fargo is seeking a Senior Data Engineer . In this role, you will: Lead moderately complex initiatives within Technology and contribute to large scale data processing framework initiatives related to enterprise strategy deliverables Build and maintain optimized and highly available data pipelines that facilitate deeper analysis and reporting Review and analyze moderately complex business, operational or technical challenges that require an in-depth evaluation of variable factors Oversee the data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis Resolve moderately complex issues and lead teams to meet data engineering deliverables while leveraging solid understanding of data information policies, procedures and compliance requirements Collaborate and consult with colleagues and managers to resolve data engineering issues and achieve strategic goals Required Qualifications: 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Additional Required Qualifications: 4 years of IT experience, with strong expertise in Data Integration, ETL Development, and Database Technologies. Hands-on experience with Informatica PowerCenter/IICS and Python for data processing and automation. Strong proficiency in UNIX/Linux environments and Shell Scripting . Advanced knowledge of SQL with proven experience in query optimization and performance tuning. Hands-on experience working with Oracle databases , including database design, development, and tuning. Experience leveraging Generative AI tools such as GitHub Copilot, Devin AI , or similar AI-assisted development platforms to improve productivity and code quality. Demonstrated experience working with Very Large Databases (VLDBs) and handling large-scale data processing workloads. Experience with enterprise job scheduling and monitoring tools such as AutoSys or equivalent batch orchestration platforms. Strong understanding of Data Quality, Data Governance, Metadata Management, and Data Lineage concepts. Proven expertise in designing, developing, and maintaining scalable ETL/ELT solutions. Experience supporting production environments, including incident analysis, troubleshooting, and problem resolution. Working knowledge of Apache Spark for distributed data processing. Exposure to cloud and modern data platforms such as Google Cloud Platform (GCP) and/or MongoDB is highly desirable. Excellent analytical, problem-solving, communication, and stakeholder-management skills. Job Expectations: Collaborate with business and technology stakeholders to understand requirements and perform detailed impact analysis. Design, develop, enhance, and maintain robust and scalable ETL/ELT data pipelines. Create technical designs and implement solutions that align with enterprise architecture and data management standards. Develop high-quality, maintainable code using industry best practices and AI-assisted development tools where appropriate. Perform unit testing, support integration testing, and assist QA teams during validation cycles. Monitor, troubleshoot, and optimize ETL processes to ensure reliability, scalability, and performance. Conduct performance tuning of ETL jobs, SQL queries, and database processes. Support production deployments, release activities, and post-production validation. Investigate and resolve production incidents within defined SLA timelines. Ensure adherence to data quality standards, governance policies, and compliance requirements. Maintain comprehensive technical documentation, operational runbooks, and knowledge artifacts in accordance with organizational standards. Participate in code reviews, peer reviews, and continuous improvement initiatives. Collaborate effectively with cross-functional teams in an Agile delivery environment.