Chief Data Technology Architect

3 days ago

Bikaner, Rajasthan, India beBeeData Full time ₹ 60,00,000 - ₹ 80,00,000
About Saras Analytics:At Saras, we are a pioneering end-to-end data analytics firm that empowers enterprises and brands to make informed decisions through data-driven insights.Our suite of services spans data extraction, transformation, visualization, and analysis delivered via cutting-edge products and solutions. Our flagship product is Daton, an innovative ETL tool.Today, we are a fast-growing startup with old-school value systems. We thrive in the exciting intersection of data analytics and e-commerce, both game-changers in their respective domains. As an employee-first company, we value talent and encourage growth, upholding these values across all stages of our work while maintaining high-quality output for our customers.The Role:We seek a seasoned Senior Python Data Engineer with extensive experience in cloud technologies to join our team. As a pivotal member, you will play a crucial role in designing, implementing, and optimizing data pipelines, ensuring seamless integration with cloud platforms.Responsibilities:Data Pipeline Development:Design, develop, and maintain scalable and efficient data pipelines using Python and cloud-based technologies.Cloud Integration:Utilize cloud platforms (e.g., Google Cloud, AWS, Azure) to deploy, manage, and optimize data engineering solutions.Leveraging Cloud-Native Services:Utilize 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.Optimization and Performance:Continuously optimize data processes for improved performance, scalability, and cost-effectiveness in a cloud environment.Quality Assurance:Implement data quality checks and validation processes to ensure the accuracy and completeness of data in the cloud-based data warehouse.Collaboration and Communication:Work closely with data scientists, analysts, and other teams to understand data requirements and provide technical support.Documentation:Create and maintain comprehensive documentation for data engineering processes, cloud architecture, and pipelines.

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