
Cloud Architect Data Engineering Lead
2 days ago
About the Role:
We are seeking a highly skilled Senior AWS Data Engineer to join our team and lead the development of scalable data pipelines on AWS cloud infrastructure.
Main Responsibilities:
- Design and develop end-to-end 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 business analytics and reporting requirements.
- Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring.
- Collaborate with analysts and stakeholders to understand data requirements and deliver scalable data solutions.
- Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging AWS best practices and cloud-native technologies.
Key Qualifications:
- 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.
Why Join Us:
We are a dynamic and innovative organization that is passionate about leveraging the power of data to drive business success.
A Day in the Life:
As a Senior AWS Data Engineer, you will have the opportunity to work on complex data projects, collaborate with cross-functional teams, and drive business growth through data-driven insights.
What We Offer:
We offer a competitive compensation package, comprehensive benefits, and opportunities for professional growth and development.
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