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4 days ago
We are seeking a highly skilled Senior AWS Data Engineer to design, develop, and deploy end-to-end data pipelines on the AWS cloud infrastructure.
Key Responsibilities:
- Design scalable data pipelines using Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- Implement data processing and transformation workflows using Apache Spark and SQL to support analytics and reporting requirements.
- Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.
- Collaborate with analysts and business stakeholders to understand data requirements and deliver scalable data solutions.
- Optimize data pipelines for performance, reliability, and cost-effectiveness by leveraging AWS best practices and cloud-native technologies.
Qualifications:
- At least 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
- Hands-on experience designing and building data pipelines on AWS cloud infrastructure.
- Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- Strong experience with Apache Spark for data processing and analytics.
- Hands-on experience orchestrating and scheduling data pipelines using AppFlow, Event Bridge, and Lambda.
- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
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