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Python Data Engineer @ Wells Fargo

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 Python Data Engineer

Job Description


Key Responsibilities

  • Design and implement distributed data pipelines using PySpark and SparkSQL
  • Build LLM-powered applications using LangChain, integrating with vector stores and document loaders
  • Collaborate with ML teams to deploy models and manage embeddings (e.g., FAISS, Chroma)
  • Optimize workflows using Databricks, MLflow, and Unity Catalog.
  • Enable natural language querying over structured data using LangChains SparkSQLToolkit
  • Ensure data quality, lineage, and governance across all systems

Required Skills

  • Strong programming skills in Python
  • Hands-on experience with PySpark and distributed data processing
  • Familiarity with LangChain and LLM frameworks (OpenAI, Hugging Face, etc.)
  • Experience with Databricks, AWS EMR, or similar cloud platforms
  • Solid understanding of SQL, ETL, and data modeling

Good-to-Have Skills

  • Experience with Google ADK Prompt Engineering for LLM optimization and fine-tuning
  • Knowledge of LangChain Agents, Toolkits, and Document Loaders
  • Exposure to Azure Data Factory, SageMaker, or EMR Serverless
  • Background in NLP, generative AI, or conversational agents

Interested? Or know someone who might be?

hr*4@ve**********g.com or contact 99444 78222

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Wells Fargo
Location(s): Hyderabad

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Keyskills:   Pyspark google adk LangChain LLM Python Prompt Engineering AWS

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Wells Fargo

'Wells Fargo is committed to building an inclusive, sustainable recovery for all through a focus on opening pathways to economic advancement, championing quality, affordable homes, empowering small businesses to thrive, and enabling a just, low-carbon economy.'