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AWS Data Engineer
3 days ago
Key Responsibilities:
- Design, develop, and maintain scalable and secure data pipelines on AWS.- Implement and optimize data storage solutions using AWS services such as S3, Redshift, RDS, and DynamoDB.- Develop ETL processes using AWS Glue, Lambda, and other relevant AWS services.- Ensure data integrity and quality through rigorous testing, validation, and monitoring.- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.- Monitor and troubleshoot data infrastructure to ensure optimal performance and reliability.- Maintain comprehensive documentation for all data engineering processes and solutions.- Stay current with industry best practices and advancements in AWS technologies and data engineering.
Must-Have Skills:
- AWS Expertise: Extensive experience with AWS services including S3, Redshift, RDS, DynamoDB, Lambda, Glue, and EC2.- Data Engineering: Strong background in designing and building data pipelines, ETL processes, and data integration.- SQL Proficiency: Advanced knowledge of SQL for data manipulation, querying, and performance optimization.- Programming: Proficiency in Python for data processing, automation, and scripting tasks.
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