
Cloud Data Engineering Professional
2 days ago
Job Title: Cloud Data Engineering Professional
About the Role:
- We are seeking a highly skilled Cloud Data Engineering Professional to join our team.
- The ideal candidate will have extensive experience in designing, developing, and deploying end-to-end data pipelines on cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift.
- This role requires strong expertise in data processing and transformation workflows using Apache Spark and SQL to support analytics and reporting requirements.
- The successful candidate will collaborate with cross-functional teams to understand business requirements and deliver scalable data solutions.
- Key responsibilities include optimizing data pipelines for performance, reliability, and cost-effectiveness while leveraging cloud-native technologies and AWS best practices.
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 cloud infrastructure is essential.
- Strong proficiency in AWS services, including Amazon S3, AWS Glue, AWS Lambda, and Amazon Redshift, is required.
- Strong experience with Apache Spark for data processing and analytics is necessary.
- Hands-on experience in orchestrating and scheduling data pipelines using AppFlow, Event Bridge, and Lambda is desired.
- Solid understanding of data modeling, database design principles, and SQL and Spark SQL is expected.
Benefits:
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A dynamic and collaborative work environment.
How to Apply:
Please submit your resume and cover letter to apply for this exciting opportunity.
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