📋 Description

• Design and Implementation of Data Pipelines: Design, develop, and implement robust and scalable
• Automation and Orchestration: Develop and maintain scripts and tools to automate data processes
• Monitoring and Optimization of Data Processes: Continuously monitor the performance of data
• Incident and Problem Management: Manage and resolve incidents related to data processes, minimizing
• Security and Compliance: Implement and maintain security measures to protect data, ensuring
• Cross-Functional Collaboration: Work closely with development, operations, and data analysis teams

🎯 Requirements

• Bachelor's degree in computer science, Systems Engineering, Information Technology, Mathematics, or
• 3-5 years of experience in DataOps, data engineering, or a similar role, with experience managing
• Experience with DataOps tools and technologies such as Apache Airflow, Luigi, Jenkins, Kafka.
• Advanced knowledge of SQL and NoSQL database administration.
• Proficiency in scripting and automation (Python, Bash, SQL).
• Experience with cloud platforms (AWS, Azure, Google Cloud), specifically AWS.