Data Engineer
Response InformaticsKurnool, Andhra Pradesh, India30+ days ago
Job descriptionPython & 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. Familiarity with event-driven architectures , API -based data sources ,data quality validation, archival strategies, and incremental loading techniques.
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
3. ETL & Data Modelling
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Data Engineer • Kurnool, Andhra Pradesh, India
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