Job Title:
Data Engineer
Key Responsibilities:
* Develop, schedule, and monitor data pipelines using Apache Airflow.
* Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery.
* Optimize ETL processes for performance, reliability, and scalability.
* Maintain and improve data architecture, ensuring data integrity and security.
* Troubleshoot and resolve pipeline failures and performance bottlenecks.
Requirements:
* Hands-on experience in Apache Airflow
* Collaboration skills with data analysts, scientists, and engineering teams
* ETL process optimization skills
* Ability to maintain and improve data architecture
* Problem-solving skills for pipeline failures and performance bottlenecks
Benefits:
This role offers the opportunity to work on cutting-edge projects, collaborate with a talented team, and grow professionally. We prioritize continuous learning and skill development, ensuring our engineers stay up-to-date with industry trends.
As a Data Engineer, you will be responsible for designing, building, and maintaining large-scale data systems. Your expertise in Apache Airflow will enable us to efficiently process and deliver data insights to stakeholders.
What You Will Gain:
* Opportunity to work on diverse projects
* Collaborative environment with experienced professionals
* Ongoing training and skill development
* Chance to apply theoretical knowledge in real-world scenarios