Data Engineer
Cargill (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 1d 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 using cloud-based data engineering technologies.
- Develop ETL/ELT workflows and optimize data models to support analytics, reporting, and data quality governance.
- Collaborate with stakeholders to deliver data solutions, support cloud migration initiatives, and ensure operational monitoring and data security compliance.
Minimum Requirements
- Bachelor's degree with minimum 4 years of professional data engineering or related experience.
- Experience with cloud data platforms such as Snowflake, Databricks, Redshift, BigQuery, or Synapse.
- Proficiency in programming (Python, SQL, Scala, Java) and data processing frameworks (Spark, Hive, Airflow).
- Familiarity with streaming technologies like Apache Kafka and data governance practices.
Ideal Candidate Profile
- Experienced in building and operating cloud-native data engineering pipelines with modern data stack tools (e.g., dbt) and DataOps/MLOps practices.
- Comfortable working with multiple cloud providers (AWS, Azure, GCP) and implementing data observability and automation in CI/CD environments.
- Able to collaborate across product, architecture, and data science teams to translate business needs into scalable, reliable data solutions.