Data Ops

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Main Purpose:

• Responsible for managing and optimizing data pipelines and workflows using DataOps principles.
• Ensure seamless data integration and engineering across structured, semi-structured, and unstructured data sources.
• Implement data quality, validation, and monitoring processes to maintain data integrity.
• Develop and maintain automation and CI/CD pipelines for data workflows.
• Manage databases and storage solutions to support scalable data infrastructure.
• Operate within cloud, on-premise, and hybrid environments to ensure data platform resilience.
• Ensure data security, governance, and compliance across all data operations.
• Enhance performance and reliability of data systems through optimization and tuning.
• Collaborate with stakeholders to enable effective data-driven decision-making.
• Exhibit strong p...