We are looking for a talented and experienced Data Engineer to join our team! If you enjoy working with real-time data streaming, have a knack for solving problems quickly, and are passionate about extracting meaningful insights from data, we want to hear from you.


Responsibilities:

• Design, develop, and maintain scalable data pipelines for real time and batch processing.

• Implement robust data streaming architectures to support business analytics and reporting requirements.

• Optimize data workflows and ETL processes for improved performance and reliability.
• Ensure data quality, integrity, and security throughout all stages of data processing.
• Monitor and troubleshoot data pipelines, addressing any issues in a timely manner.
• Solid understanding of distributed computing, data modeling, and database design principles.

Requirements:

• Strong proficiency in Apache Kafka for real time data streaming and messaging.
• Extensive hands-on experience with Click House for data storage and analytics.
• Advanced proficiency in Python for scripting, data manipulation, and automation.
• Experience with workflow management tools such as Apache Airflow.
• Familiarity with containerization technologies (Docker, Kubernetes) is a plus.
• Proven experience (3+ years) working as a Data Engineer or similar role. 
• Excellent problem-solving skills with a strong attention to detail.
• Effective communication skills and ability to collaborate in a team environment.