Senior Data Integration Engineer (Airflow)
Job Summary
We are seeking a highly skilled Lead Data Integration Engineer with expertise in Airflow to join our 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. Youll be part of a forward-thinking team working on cutting-edge cloud-native solutions that drive business value. If youre passionate about data engineering and eager to make an impact wed love to hear from you.
- 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
- 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
- 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
Required Experience:
Senior IC