Senior Data Engineer (ETL-Informatica PowerCenter|IICS/Data Integration with GenAI tools & Cloud Platforms)
Wells Fargo (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Lead and manage moderately complex data engineering initiatives focused on enterprise-scale data processing frameworks and data integration.
- Design, build, and maintain scalable, optimized ETL/ELT data pipelines and data warehouses supporting reporting, analysis, and quality standards.
- Oversee issue resolution, production support, performance tuning, and adhere to data governance, compliance, and operational standards using AI-assisted tools where applicable.
Minimum Requirements
- Minimum 4 years of Data Engineering experience and 4 years of IT experience with strong expertise in data integration and ETL development.
- Hands-on experience with Informatica PowerCenter/IICS, Python, UNIX/Linux, Shell scripting, SQL with query optimization, and Oracle databases including performance tuning.
- Experience using Generative AI tools (e.g., GitHub Copilot, Devin AI) for development and working with Very Large Databases (VLDBs).
- Knowledge of data quality, metadata management, data lineage, and enterprise job scheduling tools like AutoSys or equivalents.
Ideal Candidate Profile
- Experienced in handling enterprise-level, moderately complex ETL/ELT data pipeline projects with demonstrated end-to-end ownership including design, development, and production support.
- Proficient in integrating modern AI-assisted development tools to enhance coding productivity and maintainability.
- Comfortable working in Agile environments with cross-functional teams and exposure to cloud platforms such as Google Cloud Platform (GCP) and modern NoSQL databases like MongoDB.