Senior Data Engineer-1
Prudential Financial, Inc. (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, test, deploy, and maintain batch and near-real-time data pipelines on Prudential Singapore’s Unified Data Platform (UDP).
- Develop and support data processing for commissions calculations including rules, rates, incentives, and outputs.
- Ensure data accuracy, quality controls, auditability, and optimize pipeline performance and costs while providing production support.
Minimum Requirements
- At least 5 years of experience in data engineering or software engineering with hands-on delivery and support of production data pipelines.
- Proficiency with Python, SQL, Databricks, Spark, ETL/ELT design, and workflow orchestration.
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or equivalent.
- Fluent written and spoken English.
Ideal Candidate Profile
- Experienced with complex financial or commissions-related data processing, including calculation logic and reconciliation.
- Familiarity with enterprise data standards including data quality, lineage, metadata, access controls, and automated CI/CD pipelines.
- Comfortable working in Agile software engineering environments with cross-functional teams in financial services or insurance contexts.