As a Cloud Data Engineer, you will design, build, and maintain large-scale data processing systems on the AWS cloud platform. You will work with our team to develop and deploy data pipelines, data warehouses, and data lakes using Python and other AWS services. You will also collaborate with cross-functional teams to ensure data quality, security, and compliance.
Key Responsibilities:
- Design and implement data pipelines using AWS services such as S3, Glue, and Redshift.
- Develop and deploy data processing applications using Python and AWS Lambda.
- Collaborate with data scientists and analysts to integrate data into data warehouses and data lakes.
- Ensure data quality, security, and compliance with AWS best practices.
- Work with cross-functional teams to identify and prioritize data engineering projects.
Requirements:
- 3+ years of experience in cloud data engineering with a focus on AWS.
- Proficiency in Python programming language.
- Experience with AWS services such as S3, Glue, and Redshift.
- Strong understanding of data processing and data warehousing concepts.
- Excellent communication and collaboration skills.