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Cargill
Senior Data Engineer - Ag & Trading
Cargill
Bengaluru•On-site•4-7 Yrs•2 hours ago
Job description
Overview
Job Purpose and Impact
Qualifications
- Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
- TECHNICAL SKILLS REQUIRED:• • Data Platform Design - Designing scalable ELT data platforms on Snowflake supporting batch and real-time workloads
- Advanced Python Engineering - Building production-grade Python pipelines and reusable data frameworks, with working knowledge of .NET services and integrations
- Snowflake & Relational Database Expertise - Deep knowledge of Snowflake architecture, advanced SQL, and experience working with Oracle, SQL Server, and PostgreSQL
- Batch & Real-Time Processing - Designing and operating reliable batch and streaming / real-time data pipelines using Apache Kafka and Apache Pulsar
- Performance & Cost Optimization - Optimizing Snowflake queries, warehouse usage, and Python workloads for efficiency and scale
- Security & Governance - Implementing access controls, data protection, and secure data-sharing patterns across data platforms
- Reliability & Data Quality - Ensuring pipeline resilience, monitoring, and data quality across critical datasets
- GenAI Enablement - Enabling GenAI use cases through high-quality data pipelines, including preparation of structured and unstructured data, embeddings, and integration with OpenAI (e.g., RAG-style workflows)
- Proven experience working in the Trading and / or Finance industry
- Proven experience with MS Power BI and Tableau