
Senior Cloud Data Engineer
18 hours ago
The role involves designing and implementing scalable data pipelines using Python and cloud-based technologies to integrate with cloud platforms. This includes developing efficient ETL processes to move data from diverse sources into a cloud-based data warehouse.
Key responsibilities include:
- Design, develop, and maintain scalable and efficient data pipelines using Python and cloud-based technologies
- Implement Extract, Transform, Load (ETL) processes to seamlessly move data from diverse sources into our cloud-based data warehouse
- Collaborate with data scientists, analysts, and other stakeholders to design effective data models that align with business requirements
The ideal candidate will possess a strong command of Python, data engineering principles, and a proven track record of successful implementation of scalable solutions in cloud environments.
Key qualifications include:
- Programming Languages: Proficiency in Python for data engineering tasks, scripting, and automation
- Data Engineering Technologies: Extensive experience with data engineering frameworks like distributed data processing
- Cloud Platforms: In-depth knowledge and hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud
This role offers the opportunity to work collaboratively in a cross-functional team environment and leverage cloud technologies for data engineering.
Key benefits include:
- Strong problem-solving and critical-thinking abilities
- Excellent communication skills, both written and verbal
- Ability to work collaboratively in a cross-functional team environment
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