Senior Data Engineer
Cargill is hiring a Senior Data Engineer in Bengaluru to design and maintain complex data systems. The role focuses on building scalable batch and streaming pipelines, managing data infrastructure, and ensuring data accessibility for analytical teams. Candidates are required to have strong expertise in SQL, Python, Spark, and various modern data orchestration tools. This position involves active collaboration with cross-functional teams to deliver robust data products.
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Experience
9+ years
Function
Engineering
Work mode
Onsite, India
Company
Tier 2
What you will work on
Cargill is hiring a Senior Data Engineer in Bengaluru to design and maintain complex data systems. The role focuses on building scalable batch and streaming pipelines, managing data infrastructure, and ensuring data accessibility for analytical teams. Candidates are required to have strong expertise in SQL, Python, Spark, and various modern data orchestration tools. This position involves active collaboration with cross-functional teams to deliver robust data products.
TAL's take
Solid role at a large global organization with clearly defined data engineering responsibilities.
Highly specific JD outlining infrastructure, pipeline development, and modeling responsibilities with a clear tech stack.
Salaries at Cargill
32.9 LPA average
Based on 12 Grapevine salary entries for Cargill.
Engineering
10 - 12 years | Senior Professional
41 LPA average
Range: 40 - 42 LPA
Strategy & Management
0 - 2 years
21 LPA average
Range: 21 - 21 LPA
Other roles
2 - 4 years
25 LPA average
Range: 25 - 25 LPA
Consulting
6 - 8 years | 10
35 LPA average
Range: 35 - 35 LPA
Must haves
- Bachelor's degree
- Minimum 9 years of experience in data engineering
- Excellent working knowledge on SQL and Python
- Proficient with Spark and either Scala or Python
- Working knowledge with Kafka, Airflow, DBT, Apache Iceberg, and Datadog
- Experience designing and optimizing streaming and batch data pipelines
- Experience with CI/CD framework implementation
Tools and skills
Nice to have: snowflake.
About the company
Global agricultural and food production conglomerate with a massive internal data footprint.