
Cloud Data Engineer Position
2 days ago
We are seeking an experienced and skilled Data Engineer to join our team. As a pivotal member of our data engineering team, you will play a crucial role in designing, implementing, and optimizing data pipelines, ensuring seamless integration with cloud platforms.
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.
- Data Pipeline Development:
- 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.
- Cloud Integration:
- Utilize cloud platforms (e.g., Google Cloud, AWS, Azure) to deploy, manage, and optimize data engineering solutions.
- Leverage cloud-native services for storage, processing, and analysis of large datasets.
- Data Modelling and Architecture:
- Collaborate with data scientists, analysts, and other stakeholders to design effective data models that align with business requirements.
- Ensure the scalability, reliability, and performance of the overall data infrastructure on cloud platforms.
- Optimization and Performance:
- Continuously optimize data processes for improved performance, scalability, and cost-effectiveness in a cloud environment.
- Monitor and troubleshoot issues, ensuring timely resolution and minimal impact on data availability.
- Quality Assurance:
- Implement data quality checks and validation processes to ensure the accuracy and completeness of data in the cloud-based data warehouse.
- Collaborate with cross-functional teams to identify and address data quality issues.
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