Data Engineer (m/f/d)

at  Bitly

At Bitly, we believe in the power of the link or scan - to start a conversation, build a relationship or grow a business. Our mission is to turn every interaction into a catalyst for connections. It’s what motivates us to help people share, promote and engage everywhere on the Internet. We do this by being relentlessly product-focused, fostering the free-flowing exchange of ideas, and inspiring people around the world to dream up new ways of using Bitly.

WHO YOU ARE

• You have 2+ years of experience in data engineering
• You are adept at clearly communicating technical concepts and ideas to other engineers and to other parts of the organization
• You are an expert in SQL and have experience with at least one cloud SQL platform such as BigQuery or Redshift
• You are fluent in Python
• You are familiar with how web protocols, clients, and servers work
• You take initiative in addressing issues or seeking support from fellow team members
• Able to work on a remote team
• Experience with Go (Golang)
• Experience with Scrum
• Experience with Apache Airflow and Apache Beam
• Experience with BI and visualization tools
• Experience with Terraform

THE ROLE

Bitly is seeking a skilled Data Engineer to join the Engineering team and be a key player in supporting our data infrastructure and pipeline. As a Data Engineer at Bitly, you will architect, build, and maintain infrastructure responsible for delivering data to our internal stakeholders. You will be a part of a global team that builds a Data Platform to not only provide Data into a global data warehouse but also support company wide tools with operational data.
Bitly supports every country in the world and every platform imaginable. Our systems are built to process an enormous amount of data. To support our scale, our infrastructure consists of hundreds of servers, dozens of services, and numerous real-time data streams.

WHAT YOU’LL DO

• Write well-tested, well-documented code
• Build major new services and improve existing ones
• Create pipelines to move and transform data efficiently
• Design flexible internal and external APIs to expose our data
• Work with a variety of data tools like Apache Airflow, Bigquery, and Dataflow
• Support our internal teams in maintaining and designing user tracking events
• Mentor other engineers on best practices and implementation approaches