Vydia (vydia.com) is a fast growing, Inc. 500 technology company that has built a premiere platform for the exploding video content industry. Our solutions empower music creators to easily distribute, manage, and optimize their video and audio content through one centralized platform. The company is viewed as one of the leaders in the space as evidenced by strategic partnerships and integrations with Vevo, YouTube, Facebook, Spotify, Apple, Dailymotion and several more. The vision of the company is to disrupt the entertainment industry through automation, data, and artificial intelligence that helps both creators and the next generation of music distribution. Vydia is constantly evolving and has attracted more than 200,000 musicians, influencers, and brands worldwide. The company has recently completed Series A financing, poising it to continue the exponential growth it has achieved since its inception.
Vydia’s Data Engineering & Data Science efforts are an integral part of our success. Through our data, we nurture our artists, creators, partners, and internal users with insights to help them engage their audience.
Our Extract-Load-Transform workflows promote quick analysis and richer, complex investigations all at once, and our data warehouse supports both data science and analytics. Of all the terabytes of data we gather, one-third is well-structured, with the remaining being mostly semi-structured and some wholly unstructured. And, it currently doubles every 5.3 months!
As a Sr. Data Engineer, you will own Vydia’s multitude of data pipelines. You will design and implement our ELT workflows, which originate at partner APIs and conclude in the Warehouse. You will work closely with our data science, BI, and product teams in figuring out current and future needs.
As a leader on the Data team, your responsibilities will include:
While we are not married to any tool or technology we also look for those intimately familiar with Python and have previous experience using Airflow, Docker and Kubernetes.
We use AWS S3 & EC2 extensively, our current DW is on Redshift and our app relies mostly on Postgres. We use Looker in-house for BI and Product Engineers work mostly in Ruby and Python, while our data scientists work in R.
We want to learn more about you. If you feel like you are the right fit for this role, let us know.
In our mind, being a perfect fit means that you have the necessary hard skills and expertise, and the complimentary soft skills.
Critically, you're a person who thinks in data; you relate the real world to data, and vice-versa. You understand that data is not the end goal but a vehicle to help get us where we are going, and you see your role as the person most critical in making that happen.
Reasons to work with us:
Job Type: Full-time