: Design, develop, and maintain data pipelines and ETL processes using Python. Work with large-scale datasets, ensuring data quality, integrity, and Security. Implement cloud-native solutions on AWS (e.g., S3, Glue, Lambda, Athena and DynamoDB etc.) Optimize data workflows for performance, scalability and cost efficiency. Manage data lake and data warehouse workplace. Automate deployment and monitoring of data pipelines using CICD best practices.
Essential Skills: Require a Data Engineer with Python, AWS, API skillset.
Rate Details
IND_Engineer
Category 4
Level II
Rs70,000.00 - Rs130,000.00 Monthly NOOT
📌 Data Engineer (India)
🏢 Clifyx
📍 India
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