AWS Data Engineer

We are seeking experienced AWS Data Engineers to design, implement, and maintain robust data pipelines and analytics solutions using AWS services. The ideal candidate will have a strong background in AWS data services, big data technologies, and programming languages, with at least 3-7 years of experience.

Requirements

• Design and implement scalable, high-performance data pipelines using AWS services
• Develop and optimize ETL processes using AWS Glue, EMR, and Lambda
• Build and maintain data lakes using S3 and Delta Lake
• Create and manage analytics solutions using Amazon Athena and Redshift
• Design and implement database solutions using Aurora, RDS, and DynamoDB
• Develop serverless workflows using AWS Step Functions
• Write efficient and maintainable code using Python/PySpark, and SQL/PostgrSQL
• Ensure data quality, security, and compliance with industry standards
• Collaborate with data scientists and analysts to support their data needs
• Optimize data architecture for performance and cost-efficiency
• Troubleshoot and resolve data pipeline and infrastructure issues