Data Engineer

Change the future of video insights and creation with Alison.ai!

Stop the guesswork. End the A/B testing. Produce results-driven creative faster than ever with Alison, the world's best AI-powered video creative analysis platform. From ideation to optimization to production, Alison makes it easier than ever to create assets such as videos, banners, and playable ads with the highest likelihood of success. Our unique SaaS technology allows businesses to identify their top-performing elements in creatives, get full-funnel data, and perform intelligent competitive analysis.

About the Position

We are looking for a Data Engineer to join our fast-growing R&D team at Alison.ai. As a Data Engineer, you will play a crucial role in building, maintaining, and optimizing our data infrastructure. This pivotal position involves making significant contributions to the company's growth by developing new data sources that enable the expansion of Alison.ai's customer base.

Your responsibilities will include:

• Designing, constructing, and maintaining scalable data pipelines and architectures.
• Delivering detailed features to customers and contributing to a high-standard, innovative product.
• Establishing strong quality infrastructure to ensure the high standards we aim for.
• Influencing platform design and feature decisions.
• Ensuring the reliability and efficiency of data pipelines and developing tools to monitor and maintain data quality.
• Continuously improving data engineering practices and processes to enhance productivity and quality.
• Thinking creatively and outside the box when facing challenges and defining solutions, while combining quality and speed.

What we're looking for:

• 3-5 years of experience in Data Engineering, including building, running, testing, and monitoring data pipelines.
• Proficient coding skills in Python.
• Excellent SQL skills with the ability to improve readability and performance.
• Experience with GCP cloud services.
• Ability to diagnose and fix issues while enhancing code readability and application reliability.
• Team player, self-starter, and proactive.
• Familiarity with some of these tools and technologies: Airflow, PostgreSQL, BigQuery, Redshift, Kafka, Rivery, Fivetran, Python, and SQL.