
Lead Cloud Data Developer
6 days ago
About our organization:
We are a data analytics firm assisting enterprises & brands in decision making. Our work spans extraction, transformation, visualization & analysis of data delivered via industry leading products and services.
The Role:
As a Senior Python Data Engineer, you will play a key role in designing, implementing, and optimizing data pipelines ensuring seamless integration with cloud platforms. You 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 Responsibilities:
- 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.
- Utilize cloud platforms to deploy, manage, and optimize data engineering solutions.
Requirements:
- Proficiency in Python for data engineering tasks, scripting, and automation.
- Extensive experience with data engineering frameworks like distributed data processing.
- In-depth knowledge and hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
Desirable Skills:
- Cloud-native services for storage, processing, and analysis of large datasets.
- Collaboration with data scientists, analysts, and other stakeholders to design effective data models that align with business requirements.
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