Senior Software Engineer- SQL, Data Engineer
Wells Fargo · Hyderabad · onsite · Posted 34d ago
Undisclosed4–9 yrsfulltimeSourced from
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About this role
Job Summary
Wells Fargo is seeking a Senior Software Engineer
Responsibilities - Lead moderately complex initiatives and deliverables within technical domain environments
- Contribute to large scale planning of strategies
- Design, code, test, debug, and document for projects and programs associated with technology domain, including upgrades and deployments
- Review moderately complex technical challenges that require an in-depth evaluation of technologies and procedures
- Resolve moderately complex issues and lead a team to meet existing client needs or potential new clients needs while leveraging solid understanding of the function, policies, procedures, or compliance requirements
- Collaborate and consult with peers, colleagues, and mid-level managers to resolve technical challenges and achieve goals
- Lead projects and act as an escalation point, provide guidance and direction to less experienced staff
- 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Technical Experience (4+ years) - Hands-on engineering experience using:
- Python, Spark, Iceberg, Hive
- Dremio
- Azure
- GCP
- Ab Initio
- Informatica
- SQL
- Orchestration: Autosys, Airflow (preferred)
- Databases: Oracle, MS SQL, Teradata
- Strong SQL development and tuning skills
- Proven experience supporting and optimizing large enterprise-scale data environments.
- Working with modern Data Warehousing, Data Lakes, and Lakehouse architectures.
- Monitor, tune, and troubleshoot large-scale distributed systems.
- Diagnose memory, performance, partitioning, and query-related inefficiencies across compute engines.
- Ensure system reliability, scalability, and high throughput in enterprise data environments.
- Expertise in designing / implementing modern data platforms with:
- Standardization of patterns, frameworks, and reusable components
- Automated code-generation, CI/CD and DevOps best practices
- Cloud-native and open-table formats (e.g., Iceberg)
- Hands-on experience in GenAI, Agentic AI, and LLM adoption, such as:
- Building RAG architectures, vector stores, embedding pipelines
- Integrating data systems with enterprise AI platforms
- Using LLMs to improve data quality, metadata extraction, or automation of data engineering tasks
- Familiarity with data governance and security frameworks, including privacy, compliance, lineage, and access control.
- Strong communication skills and collaborate with cross-technical / functional teams.
- Ability to work in an agile, fast-paced environment while delivering high-quality results.
- Passion for innovation, continuous learning, and adopting modern practices including AI-driven development.
- Expected to work with enterprise-grade frameworks and modern opensource technologies
- Will contribute to modernizing the application landscape by moving away from the current legacy tech stack and toolset
- Will operate in a fastpaced Agile environment with close collaboration across teams.
- Responsible for design, requirements analysis, optimization, and defining development best practices and standards.
- Expected to perform thorough peer code reviews and contribute to overall code quality and engineering excellence.
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Skills
data qualityAutomationAgileData Engineercode qualityautosysAb Initiodata systemsdata platformsapache airflowData EngineeringcloudCommunication SkillsData WarehousingData GovernancecomplianceCustomer RelationshipsMicrosoft AzureArtificial Intelligence
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
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Work-life
3.8
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