Posted:3 weeks ago|
Platform:
Work from Office
Full Time
1. Building and Maintaining Data Pipelines Design and implement robust, scalable, and efficient data pipelines to process and transform raw data into actionable insights. Develop and optimize data extraction, transformation, and loading (ETL) processes using modern tools and platforms. Ensure seamless integration of diverse data sources, including structured and unstructured datasets. 2. Data Architecture Design Collaborate with stakeholders to define technical requirements for data storage, retrieval, and processing. Implement best practices for database design, data modeling, and performance optimization. Contribute to the development of enterprise-wide data strategy and architecture. 3. Cloud Data Integration Deploy and maintain cloud-based data solutions, with a preference for platforms like AWS, Azure, or GCP. Ensure efficient utilization of cloud resources to achieve cost-effectiveness and scalability. Understand and apply basic cloud governance and security principles. 4. Data Governance and Quality Establish data governance frameworks to ensure the reliability, security, and accuracy of data. Conduct regular data audits and validations to maintain data quality. Implement automated monitoring systems for anomaly detection and issue resolution.
Maruti True Value
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