Data Engineer
Cargill (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 2d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable batch and real-time data ingestion and processing pipelines.
- Ensure data quality, integrity, governance, and security while optimizing data models for analytics and reporting.
- Support cloud migration and modernization initiatives, collaborating with stakeholders and delivering observability and monitoring solutions.
Minimum Requirements
- Bachelor's degree required with minimum 4 years of professional experience.
- Experience with cloud-based data platforms like Snowflake, Databricks, Redshift, BigQuery, or Synapse.
- Proficiency in ETL/ELT workflows, Apache Kafka or streaming technologies, and modern data stack tools such as dbt.
- Working knowledge of cloud services (AWS, Azure, or GCP); cloud certifications preferred but not mandatory.
Ideal Candidate Profile
- Experienced working with diverse cloud data technologies and big data tools like Spark, Hive, and Airflow, indicating advanced data engineering capabilities.
- Capable of collaborating across business, architecture, and data science teams to deliver end-to-end data solutions.
- Familiar with modern practices including DataOps, MLOps, and data governance frameworks, suggesting comfort in a scalable, compliance-conscious data environment.