Data Engineer

3 days ago

bangalore, India Response Informatics Full time

1. Cloud & Infrastructure• AWS services : Must be proficient in building scalable data pipelines and managing cloud-native ETL workflows.• Snowflake: Moderate understanding of Snowflake architecture.• CICD - Terraform or CloudFormation, Jenkins ,Bitbucket : For infrastructure-as-code and deployment automation.2. Programming & Scripting• Python & PySpark: Ability to write efficient scripts for data transformation, and pipeline orchestration, knowledge of Spark or any distributing frameworks .• SQL: Advanced querying, optimization, and data modelling.3. ETL & Data Modelling• Familiarity with event-driven architectures , API -based data sources ,data quality validation, archival strategies, and incremental loading techniques.

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