Data Infrastructure Engineer (AI)

TL;DR

Data Infrastructure Engineer (AI): Building and maintaining a robust data platform to support various business initiatives with an accent on developing high-quality data pipelines and infrastructure. Focus on collaborating with cross-functional teams to ensure data quality and operational excellence.

Company

hirify.global is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

What you will do

• Evolve the Data Platform by designing and building the next generation of the stack.
• Develop, run and support our data pipelines using tools like Airflow, PlanetScale, Kinesis, Snowflake, Tableau, all in AWS.
• Collaborate with product managers, data engineers, analysts and data scientists to develop tooling and infrastructure to support their needs.
• Develop automation and tooling to support the creation and discovery of high quality analytics data.
• Implement systems to monitor our infrastructure and ensure Operational Excellence.

Requirements

• 3+ years of full-time, professional work experience in the data space using Python and SQL.
• Solid experience building and running data pipelines for large and complex datasets.
• Hands-on cloud provider experience (preferably AWS).
• Solid understanding of data security practices.
• Some DevOps experience.

Nice to have

• Worked with Apache Airflow.
• Experience with modern data stack tools.

Culture & Benefits

• Competitive salary and equity in a fast-growing start-up.
• Open vacation policy and flexible holidays.
• Comprehensive health and dental insurance.
• Paid maternity and paternity leave.