
Cloud Data Architect
3 days ago
We are seeking a highly skilled Data Engineer to design and implement robust data pipelines using AWS, Python, and SQL. As a key member of the Data & Analytics team, you will play a critical role in supporting business analytics and decision-making across multiple domains.
The successful candidate will have expertise in AWS services such as S3, EC2, RDS, Redshift, and AWS Glue. Proficiency in Python, with a solid understanding of libraries and frameworks for data engineering (e.g., Pandas, PySpark) is also essential. Additionally, a strong command of SQL for creating, managing, and optimizing data structures and complex queries is required.
- Design and implement efficient data pipelines using AWS, Python, and SQL to support business analytics and decision-making.
- Ensure data integrity and performance of data processing and storage systems.
- Collaborate with cross-functional teams to gather and address technical and design requirements.
Key Responsibilities:
- Optimize data flows and architecture within AWS to enhance performance, scalability, and reliability.
- Develop and maintain scalable and efficient ETL processes and APIs for data interaction.
Requirements:
- Expertise in AWS services such as S3, EC2, RDS, Redshift, and AWS Glue.
- Proficiency in Python, with a solid understanding of libraries and frameworks for data engineering.
- Strong command of SQL for creating, managing, and optimizing data structures and complex queries.
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