HYDERABAD · FULLTIME
Senior Data Engineer (Python/ Spark/GCP)
Wells Fargo
Hyderabad · onsite · Posted 50d ago
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Undisclosed4–9 yrsfulltimeHyderabad
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Section · 01
About this role
Job Summary
- Wells Fargo is seeking a Senior Data Engineer.
- We are seeking a Senior Data Engineer to build and modernize scalable data platforms on GCP while enabling AI/GenAI-driven data solutions.
- The ideal candidate will have strong expertise in cloud data engineering, large-scale data processing, and modern AI-enabled data architectures
- 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 analyse 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
- 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Design, build, and optimize scalable data pipelines using Python, SQL, Spark, and GCP services.
- Develop batch and streaming solutions using BigQuery, Dataproc, Cloud Composer, Kafka, and Pub/Sub.
- Lead cloud migration, data transformation, reconciliation, and data quality initiatives. Implement metadata, lineage, governance, and observability using Dataplex and Data Catalog.
- Build data products that support AI use cases including semantic search, RAG, embeddings, and knowledge graphs.
- Develop APIs and data services to support AI agents and intelligent workflows. Collaborate with product, platform, security, and business teams to deliver reliable, scalable solutions.
- Drive engineering excellence through automation, CI/CD, monitoring, and reusable frameworks.
- Strong experience in Python, SQL, Spark, and Data Engineering.
- Hands-on experience with GCP (BigQuery, Dataproc, Composer, Pub/Sub).
- Experience building enterprise-scale ETL/ELT and streaming solutions.
- Understanding of data modeling, governance, and cloud architecture.
- Familiarity with LLMs, prompt engineering, vector search, or AI-powered applications.
- REST APIs, Git, and CI/CD practices.
- Neo4j or Graph Databases.
- Vector Databases, RAG, and Semantic Search.
- LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
- Docker, Kubernetes, and MLOps concepts.
- AI Governance and Responsible AI practices.
- Key Technologies: GCP, BigQuery, Dataproc, Spark, Python, SQL, Kafka, Pub/Sub, Dataplex, Airflow, LLMs, Neo4j, Vector Databases, RAG, LangChai
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Section · 02
Skills
AutomationData Engineercloud data engineeringapisapache airflowbigqueryai governanceCloud ComposerAnalyticscloudCloud MigrationArchitectureData CatalogcomplianceCustomer RelationshipsGoogle ComposerCloud ArchitectureArtificial Intelligence
Section · Company
About Wells Fargo
Wells Fargo
Financial Services
20k+
employees
1852
174 years old
Bengaluru/Bangalore, Karnataka
India
About
Wells Fargo works to create positive social impact in the communities it serves by supporting housing affordability, small business growth, financial health, and a low-carbon economy.
Industries
Financial Services
Employee ratings
8,681 reviews
3.6/ 5
Culture
3.5
Career growth
2.9
Work-life
3.8
Employees rate it well for
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