Lead Data Integration Engineer (Airflow)

Our team is looking for a highly skilledLead Data Integration Engineer with Airflowexpertise to join us. This role involves designing, developing, and optimizing robust data and analytics solutions and pipelines. You will work closely alongside scrum masters, product owners, and cross-functional engineering teams to deliver innovative, API-first, cloud-native solutions.

You'll join a forward-thinking team that works on cutting-edge cloud-native solutions driving business value. We'd love to hear from you if you're passionate about data engineering and eager to make an impact.

Responsibilities

• Design, develop, and enhance scalable data and analytics solutions and pipelines within the Data and Analytics squad
• Collaborate with scrum masters, product owners, and engineering teams to iteratively deliver high-quality data solutions
• Partner with the development team to build innovative, API-first, cloud-native solutions leveraging AWS, Airflow, SnapLogic, Python, REST APIs, and related technologies
• Continuously improve the delivery pipeline through automation and by expanding and optimizing test coverage
• Optimize and fine-tune existing data pipelines for enhanced performance, scalability, and reliability

Requirements

• 6+ years of professional experience in data engineering, with a strong focus on designing and building data pipelines
• Proficiency in SQL along with hands-on experience in Python
• Solid understanding of data modeling and data warehousing concepts
• Experience working with public cloud data platforms, such as AWS and Azure
• Strong communication skills with English proficiency at B2 level or above