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Wells Fargo Logo Wells Fargo · IT - Software Development

Data Engineer

India, BENGALURU · Job Posted June 04, 2026
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Job Description

Wells Fargo is seeking a Data Engineer to design, build and optimize scalable data platforms on Google Cloud Platform (GCP). The ideal candidate will have strong hands-on expertise in modern data engineering tools, distributed processing (spark/Pyspark), orchestration & growing exposure to GenAI-driven data solutions. This role requires excellent problem-solving capabilities and strong communication skills to work with cross functional teams.

Job Responsibility

  • Participate in data warehouses across multiple databases and identify opportunity for developing table schemas within the Technology and Date area
  • Review and analyze basic data management business, operational, or technical assignments or challenges that require research, evaluation, and selection of alternatives and exercise independent judgment to guide medium risk deliverables
  • Present recommendations for resolving more complex data management situations and exercise independent judgment while developing expertise in the business data policies, procedures and compliance requirements
  • Collaborate and consult with technology colleagues, internal partners and stakeholders, including internal and external customers if applicable
  • Design and build scalable, production-grade data pipelines on GCP supporting analytics and AI workloads
  • Develop and manage secure, compliant cloud data platforms aligned with enterprise policies and controls
  • Optimize data processing for performance, cost efficiency, and reliability (Spark + BigQuery workloads)
  • Collaborate with AI/analytics teams to enable feature engineering, model consumption, and AI-driven insights

Requirements

  • 2+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Strong experience in EDL pipelines using Spark & BigQuery on GCP
  • Hands-on expertise in GCP services (BigQuery, Dataflow, GCS, IAM) and cloud-native architecture
  • Solid understanding of enterprise data governance, data quality
  • Exposure to AI/ML or GenAI use cases, including integration with data platforms and awareness of AI governance standards

Nice to have

  • Strong experience in EDL pipelines using Spark & BigQuery on GCP
  • Hands-on expertise in GCP services (BigQuery, Dataflow, GCS, IAM) and cloud-native architecture
  • Solid understanding of enterprise data governance, data quality
  • Exposure to AI/ML or GenAI use cases, including integration with data platforms and awareness of AI governance standards
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