
Senior Cloud Data Scientist
2 days ago
Job Title: Senior AWS Data Engineer
We are seeking a highly skilled and experienced Senior AWS Data Engineer to join our team.
About the Role:
- This is a remote position that requires the ability to work independently and collaboratively as part of a team.
Responsibilities:
- Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
- 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 business 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.
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, Amazon Redshift, etc.
- 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.
Bonus Points:
- Familiarity with cloud-based data warehousing and business intelligence tools.
- Experience with containerization using Docker and Kubernetes.
- Knowledge of DevOps practices and CI/CD methodologies.
If you have what it takes to excel in this role, we would love to hear from you
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