
Data Cloud Professional
5 days ago
We are seeking a seasoned Senior AWS Cloud Data Engineer to join our team.
The successful candidate will be responsible for designing, developing, and deploying large-scale data pipelines on Amazon Web Services (AWS) cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift. The ideal candidate will have hands-on experience in building and maintaining data processing workflows using Apache Spark and SQL to support analytics and reporting requirements.
Key Responsibilities:
- Design and implement end-to-end data pipelines on AWS cloud infrastructure.
- Implement data processing and transformation workflows using Apache Spark and SQL.
- 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.
Requirements:
- Minimum 8+ years of experience building and deploying 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 such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- Strong experience with Apache Spark for data processing and analytics.
- Hands-on experience on 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 salary and benefits package, remote work options, and the opportunity to work with a talented team of professionals.
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