
Chief Cloud Data Architect
1 day ago
About Saras Analytics:
We are a data analytics firm that helps enterprises and brands make informed decisions using data.
Our services span from data extraction, transformation, visualization to analysis delivered via industry-leading products and solutions.
Our flagship product is Daton, an ETL tool. We have also developed data visualization solutions on top of Daton.
Our team consists of world-class data experts who understand the story behind numbers and communicate it effectively to CXOs.
The RoleAs a Senior Python Data Engineer, you will play a crucial role in designing, implementing, and optimizing data pipelines using cloud technologies.
- Design, develop, and maintain scalable and efficient data pipelines using Python and cloud-based technologies.
- Implement Extract, Transform, Load (ETL) processes to move data from diverse sources into our cloud-based data warehouse.
- Utilize cloud platforms to deploy, manage, and optimize data engineering solutions.
- Collaborate with data scientists and stakeholders to design effective data models.
- Ensure the scalability, reliability, and performance of the overall data infrastructure on cloud platforms.
- Optimize data processes for improved performance, scalability, and cost-effectiveness in a cloud environment.
- Monitor and troubleshoot issues to ensure timely resolution and minimal impact on data availability.
- Implement data quality checks and validation processes to ensure accurate and complete data in the cloud-based data warehouse.
- Work closely with data scientists and analysts to understand data requirements and provide technical support.
- Collaborate with other engineering teams to integrate data engineering solutions into larger cloud-based systems.
- Document data engineering processes, cloud architecture, and pipelines comprehensively.
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