
Cloud Data Architect
1 day ago
We are seeking an experienced Data Engineer to design and implement robust data pipelines using AWS, Python, and SQL to support business analytics and decision-making.
The ideal 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, and strong command of SQL for creating, managing, and optimizing data structures and complex queries.
- Main Responsibilities:
- Design and implement scalable data pipelines using cloud infrastructure and modern data tools.
- Maintain high-quality data integrity and performance of data processing and storage systems.
- Develop and optimize ETL processes and APIs to meet business needs.
- Collaborate with cross-functional teams to gather and address technical requirements.
- Enhance data models and databases to support diverse enterprise applications.
- Monitor and troubleshoot operational or data issues in the data pipelines.
Requirements:
- Minimum of two years of experience in data engineering or a related field.
- Strong proficiency in building and maintaining data pipelines in cloud environments.
- Experience with Python for scripting and data manipulation.
- Advanced SQL knowledge for complex querying and database interaction.
About Our Team
We are a team of professionals dedicated to designing, building, and optimizing data solutions that power business analytics activities. We aim to identify trends, improve operational efficiency, and derive insights that drive strategic decision-making by gathering and analyzing data from diverse enterprise systems and operational sources.
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