Senior Data Integration Engineer (Airflow)

We are seeking a highly skilled Lead Data Integration Engineer with expertise in Airflow to join our team. In this role, you will design, develop, and optimize robust data and analytics solutions and pipelines. You will collaborate closely with scrum masters, Product Owners, and cross-functional engineering teams to deliver innovative, API-first, cloud-native solutions. You’ll be part of a forward-thinking team, working on cutting-edge cloud-native solutions that drive business value. If you’re passionate about data engineering and eager to make an impact, we’d love to hear from you. 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 4+ years of professional experience in data engineering, with a strong focus on designing and building data pipelines Proficiency in SQL and hands-on experience with Python Solid experience in data modeling and data warehousing concepts Experience working with public cloud data platforms, including AWS, and Azure Strong communication skills with English proficiency at B2 level or higher Technologies AWS platform: AWS S3, AWS Glue, AWS Lambda, AWS EC2 Data Platforms: Airflow Integration & ETL: Snaplogic, ETL/ELT pipelines Programming: Python, SQL DevOps: CI/CD, Bamboo, GitHub Actions