Principal Data Engineer
Cargill (company site, opens in a new tab)6+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and development of scalable and robust data pipelines and infrastructure to support efficient data processing and availability for analytics.
- Drive architectural standards and prototypes for data frameworks, modeling, and automated reporting systems to optimize data usability.
- Manage stakeholder relationships to align data engineering solutions with organizational objectives and enable timely data-driven decision-making.
Minimum Requirements
- Minimum 6 years relevant work experience, typically 10+ years preferred.
- Experience with cloud data platforms and big data technologies (Snowflake, AWS, Kafka, Spark) explicitly required.
- Proven expertise in building and maintaining scalable data engineering solutions involving data ingestion, streaming, and transformation.
- Strong background in DevOps practices related to code management, CI/CD, and deployment.
Ideal Candidate Profile
- Experienced technical leader capable of setting long-term architecture and guiding enterprise-scale data systems development.
- Operationally oriented with focus on reliability, observability, and performance of data infrastructure.
- Proficient in cloud-based data ecosystems and modern data engineering tools, balancing strategic decision making on trade-offs in speed, cost, and risk.