Senior Data Engineer - Ag & Trading
Cargill (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 28–42 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data infrastructure, pipelines, and complex data products using cloud-based technologies (AWS, Snowflake, Kafka).
- Optimize data systems for performance, cost, security, and reliability including role-based access controls and data governance.
- Collaborate with data analytics and business teams to deliver robust, sustainable solutions and support GenAI data preparation and integration.
Minimum Requirements
- Minimum 8 years of relevant data engineering experience, including cloud data platform design and advanced Python development.
- Expertise with AWS, Snowflake, relational databases (Oracle, SQL Server, PostgreSQL), Apache Kafka, and complex SQL.
- Experience designing batch and real-time data pipelines with focus on performance, security, and data quality.
- Work Experience Required: Minimum 8 years; Notice Period: Not explicitly mentioned.
Ideal Candidate Profile
- Experienced in end-to-end data platform design and operationalization with strong cloud and streaming data engineering skills.
- Familiar with financial or trading domain is preferred but not mandatory.
- Capable of independently delivering scalable, secure, and cost-efficient data solutions that support advanced analytics and GenAI applications.