About This Role

Wells Fargo is seeking a Data Engineer

In This Role, You Will

Participate in data warehouses across multiple databases and identify prospect 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

Required Qualifications:

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

Desired Qualifications:





Design and execute comprehensive data migration strategies from on-premises, legacy platforms, or other cloud environments to GCP.
Migrate structured and semi-structured data to BigQuery, Bigtable, and other GCP storage solutions.
Build, optimize, and maintain scalable migration pipelines using Python, SQL, and distributed processing frameworks on Dataproc (Apache Spark).
Implement batch and streaming migration patterns using Cloud Composer (Apache Airflow), Kafka, and Google Pub/Sub.
MCP & AI Platform Engineering
Set up and operate Model Context Protocol (MCP) servers
Register datasets, APIs, and tools for secure LLM access
Enable scalable, observable, and governed LLM interactions
Python, APIs & Backend Services
Build AI microservices using Python (FastAPI / Flask)
Integrate and consume internal and external APIs within AI workflows
Develop pipelines for ingestion, embedding generation, indexing, and retrieval
Python (ETL/ELT pipelines and a

📌 Data Engineer-AI (Hyderabad)
🏢 Wells Fargo
📍 Hyderabad