
AWS Cloud Data Engineer
2 days ago
This is a senior position for a skilled data architect who can lead the design, development, and deployment of end-to-end data pipelines on AWS cloud infrastructure.
Key Responsibilities:
- Design and develop scalable data processing pipelines using services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- Implement data transformation workflows using Apache Spark and SQL to support analytics and reporting requirements.
- Beebuild and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.
- Collaborate with analysts and stakeholders to understand data requirements and deliver data solutions.
- Optimize data pipelines for performance, reliability, and cost-effectiveness by leveraging AWS best practices and cloud-native technologies.
Requirements:
- 8+ years of experience building large-scale data processing pipelines in a production environment.
- Hands-on experience in designing and building data pipelines on AWS cloud infrastructure.
- Strong proficiency in AWS services including Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- Strong experience with Apache Spark for data processing and analytics.
- Experience in orchestrating and scheduling data pipelines using AppFlow, Event Bridge, and Lambda.
- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
What We Offer:
- A competitive compensation package.
- The opportunity to work on challenging projects with a talented team.
- A dynamic and supportive work environment.
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