
Senior Cloud Data Engineer
3 days ago
Job Title: Senior Data Solutions Architect
We are seeking an expert to lead the design and development of end-to-end data pipelines on cloud infrastructure.
Key Responsibilities:
- Design, develop, and deploy scalable data solutions using cloud-native technologies.
- Implement data processing and transformation workflows using Apache Spark, and SQL to support 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 optimal data solutions.
- Optimize data pipelines for performance, reliability, and cost-effectiveness, leveraging best practices and cloud-native technologies.
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.
- Strong proficiency in cloud 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 Event Bridge, and Lambda.
- Solid understanding of data modeling, database design principles, and SQL and Spark SQL.
What We Offer
This is a senior-level position requiring significant experience and expertise in the field. The ideal candidate will have a strong track record of delivering complex data solutions and a passion for staying up-to-date with the latest cloud technologies.
Why You'll Thrive Here
Our team is dedicated to innovation and excellence. We offer a dynamic work environment that encourages collaboration, creativity, and growth. If you're a motivated and experienced professional looking to take your career to the next level, we'd love to hear from you.
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