Senior Software Engineer (Google Analytics)
At Emirates, we believe in connecting the world, to, and through, our global hub in Dubai; and in constantly innovating to ensure our customers ‘Fly Better’. Do you want to play a part in that journey and become a part of expanding our services? Join us in cosmopolitan Dubai and make your mark on the aviation world by taking Emirates to the next level!
The Senior Software Engineer (Google Analytics) is a fully participating member of an agile feature team working independently on software development and problem resolution. This role will develop and optimize the data infrastructure and data-models behind a customer-centric marketing business and map out and develop the data ingestion, integration, and distribution processes from various internal and external sources, streamlining the information for use by marketing teams.
This role will focus on Analytics requirements gathering, creating JIRA stories for developers and Working on Google Tag Manager.
In this role, you will:
- Work with senior technical engineers in the technical design process by contributing in the analysis of technical application requirements.
- Convert technical solutions for small to medium-sized initiatives into low-level design and working code.
- Independently write secure and optimized code through the implementation of Emirates Group approved coding standards.
- Directly responsible for the implementation of analytics tags on the website through Google Tag Manager. Validate Google Analytics data from the website/app.
- Create/Manage data imports to Google Big Query / Cloud Storage from within Google Cloud resources.
- Create/Manage data imports to Google Big Query / Cloud Storage by API calls with other platforms (Facebook, Twitter, etc.) to fetch data.
- Implement python jobs to run on Apache Airflow and support (debug) any issues
- Good knowledge of different data integration techniques to integrate data from different platforms/ sources i.e. API integrations, data transfers, SFTP integrations, etc.
- Work closely with Business and IT to improve and streamline our ongoing analytics implementation process; identify opportunities to automate key parts of the process including documentation, coding/development and testing.
