
Cloud Data Engineer
5 days ago
This role focuses on designing, developing, and deploying large-scale data processing pipelines on cloud infrastructure.
The ideal candidate will have extensive experience in designing, developing, and deploying end-to-end data pipelines using cloud services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- Develop and deploy scalable data solutions to support analytics and reporting requirements.
- 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.
- Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging cloud 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.
- Strong proficiency in cloud services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- Experience with Apache Spark for data processing and analytics.
- Hands-on experience in orchestrating and scheduling data pipelines.
- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
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