Job Description
- 6–8 years of experience in Data Engineering or related roles (3+ years may be considered )
- Strong hands-on expertise with dbt (Data Build Tool) for data transformation, testing, and modeling
- Experience orchestrating and managing workflows using Argo Workflows in Kubernetes environments
- Strong hands-on experience with Kubernetes , including pod execution, resource management, monitoring, and debugging
- Experience designing, building, and maintaining ELT/ETL data pipelines in cloud-native environments
- Strong proficiency in Python and/or Shell scripting for automation and data engineering workflows
- Advanced SQL skills for data transformation, optimization, validation, and data modeling
- Hands-on experience with cloud platforms and storage technologies including AWS, S3, Redshift, Snowflake , or similar technologies
- Familiarity with ...
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