We are looking for a DataOps Engineer for a global technology company specializing in data-driven solutions and innovative platforms. Their mission is to provide cutting-edge tools for businesses to unlock the potential of their data, enabling smarter decisions and enhanced performance.
Role Overview
In this role, you will be critical in ensuring database stability and performance while developing and optimizing data pipelines and workflows. You will bridge the gap between database management and data engineering, fostering efficient and reliable data operations.
What We Offer
If you are passionate about data operations, engineering, and building impactful solutions, we’d love to hear from you
Requirements
We are looking for a DataOps Engineer for a global technology company specializing in data-driven solutions and innovative platforms. Their mission is to provide cutting-edge tools for businesses to unlock the potential of their data, enabling smarter decisions and enhanced performance.
Role Overview
In this role, you will be critical in ensuring database stability and performance while developing and optimizing data pipelines and workflows. You will bridge the gap between database management and data engineering, fostering efficient and reliable data operations.
What We Offer
If you are passionate about data operations, engineering, and building impactful solutions, we’d love to hear from you
,[Monitor, maintain, and optimize database performance and availability., Troubleshoot and resolve database issues to ensure operational continuity., Manage and maintain database clusters (e.g., SAP clusters) for high availability and stability., Develop and maintain data pipelines for reporting and analytics., Create and manage code repositories for data workflows and transformations., Adding new columns and features., Validating data accuracy and transformations., Debugging and resolving errors., Collaborate with external clients and APIs to facilitate data exchanges., Design, develop, and optimize new and existing integrations with external systems., Debug, refactor, and enhance Python-based code for seamless performance. Requirements: SQL, Python, Data engineering, Data warehouse, Database clusters