Senior Software Engineer- SQL, Data Engineer
Wells Fargo24 hours ago
Hyderābād, IndiaSenior
Responsibilities
- Lead moderately complex software engineering initiatives and technical deliverables.
- Design, code, test, debug, document, upgrade, and deploy technology projects.
- Design and implement modern data platforms, reusable components, frameworks, and development standards.
- Develop and tune SQL and optimize large-scale data warehouses, data lakes, lakehouses, and distributed systems.
- Monitor, troubleshoot, and improve memory usage, performance, partitioning, queries, scalability, reliability, and throughput.
- Modernize legacy application landscapes using enterprise-grade frameworks and open-source technologies.
- Support RAG architectures, vector stores, embedding pipelines, enterprise AI integrations, and LLM-based data engineering automation.
- Apply data governance and security practices covering privacy, compliance, lineage, and access control.
- Conduct peer code reviews, improve engineering quality, and contribute to CI/CD and DevOps practices.
- Lead projects, serve as an escalation point, and provide guidance to less experienced staff while collaborating with technical and functional teams.
Requirements
- At least 4 years of software engineering experience or equivalent experience, training, military experience, or education.
- Hands-on experience with Python, Spark, Iceberg, Hive, and Dremio or comparable virtualization, federation, or semantic-layer tools.
- Experience with a major cloud platform, including Azure or GCP.
- Experience with ETL tools such as Ab Initio, Informatica, or DataStage; Ab Initio is preferred.
- Experience with Oracle, Microsoft SQL Server, or Teradata databases.
- Experience with Autosys or Airflow orchestration; Airflow is preferred.
- Strong SQL development and tuning skills and experience supporting enterprise-scale data environments.
- Experience with modern data warehousing, data lakes, lakehouse architectures, distributed systems, cloud-native platforms, and open-table formats.
- Experience with automated code generation, CI/CD, DevOps practices, and reusable engineering frameworks.
- Hands-on experience with GenAI, agentic AI, LLM adoption, RAG, vector stores, embedding pipelines, or enterprise AI platforms.
- Familiarity with data governance and security frameworks, including privacy, compliance, lineage, and access control.
- Strong communication, collaboration, technical leadership, code review, troubleshooting, and problem-solving skills.
- Ability to work in a fast-paced Agile environment and adopt modern and AI-driven development practices.
Tech Stack
Apache AirflowApache HiveApache SparkAzureGoogle Cloud PlatformInformaticaMicrosoft SQL ServerPythonSQL
Categories
Data Engineering
About Wells Fargo
Wells Fargo & Company is a U.S.-based financial services firm providing consumer and commercial banking, mortgages, credit, and wealth/investment services to individuals, small businesses, and enterprises. It earns revenue from interest income and fees across retail banking, payments, lending, and capital markets. Founded in 1852 and headquartered in San Francisco, it is publicly traded on the NYSE (WFC) and operates nationally with offices in multiple countries.