Senior Data Engineer- ETL Engineer
Wells Fargo (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 12–22 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead moderately complex data engineering initiatives related to enterprise-scale data processing frameworks and strategy deliverables.
- Build and maintain optimized, highly available ETL data pipelines using PySpark and SQL to enable analytics and reporting.
- Oversee data integration tasks including data modeling, maintaining data warehouse and analytics environments, and script development for integration and analysis.
Minimum Requirements
- 4+ years of data engineering experience including ETL development with PySpark.
- 3+ years of Oracle database experience.
- Proficiency in SQL on platforms such as Oracle, SQL Server, and/or Teradata.
- Work Experience Required: 4+ years in Data Engineering explicitly mentioned.
Ideal Candidate Profile
- Experienced in designing and optimizing complex SQL queries and troubleshooting ETL and production issues.
- Familiar with multiple data ingestion patterns including NDM files, APIs, and direct database connections and working knowledge of Linux environment.
- Ability to translate business requirements into technical specifications and operate within Agile Scrum teams using tools like Jira, GitHub, and CI/CD practices.