
Cloud Data Engineer Job
14 hours ago
We are seeking an experienced Cloud Data Engineer to join our team. As a key member, you will design and implement robust cloud-based data pipelines using AWS services, Python, and SQL to support business analytics and decision-making across multiple domains.
About the Role
- Design and implement cloud data pipelines in AWS to underpin comprehensive business analytics and data-driven decision-making processes.
- Ensure data integrity and performance of data processing and storage systems.
- 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.
Key Responsibilities
- Monitor and troubleshoot operational or data issues in the cloud data pipelines.
- Continuously improve systems and processes by integrating new tools and technologies.
- Document all cloud data engineering procedures and solutions for future reference and compliance.
- Support the data management team in daily operations and long-term projects.
Required Skills and Qualifications
- 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 cloud data engineering (e.g., Pandas, PySpark).
- Strong command of SQL for creating, managing, and optimizing data structures and complex queries.
- Familiarity with orchestration tools (e.g., Airflow) and data integration techniques.
Benefits
- Minimum of Two years of experience in cloud data engineering or a related field.
- Strong proficiency in building and maintaining cloud data pipelines in AWS environments.
- Experience with Python for scripting and data manipulation.
Working at Our Company
Our company is a dynamic organization that values innovation, collaboration, and continuous learning. Our team works together to drive business growth through strategic decision-making and data-driven insights.
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