You are passionate about building intelligent data products to improve user experience. Your data infrastructure will be used for generating analytic insights to empower our team to make data-driven business decisions.
This is a rare opportunity to join a small team that is processing massive amounts of data. As one of the founding members of the data team, you have a huge opportunity to take ownership and make an impact.
Check out our engineering blog - engineering.ifttt.com and open source projects -ifttt.github.io/.
What will you do?
Build, monitor, and maintain analytics data ETL pipelines for dashboards and reporting
Design and develop A/B experiment frameworks to easily and efficiently define, run, and measure the causal impact of experiments
Collaborate with other team members to design and develop machine learning products for content personalization and spam detection
What key qualifications are we looking for?
3+ experience in data engineering or data science
Experience with ETL jobs, metrics, alerting, and logging
Able to write high-quality code in Scala, Python, or Java
Experience writing, debugging, and optimizing SQL queries
Deep understanding of MapReduce and “big data” tools like Pig, Hive, or Spark
Experience with MPP data warehouses like Redshift, or Vertica
Knowledge of Machine Learning and Statistics is a plus
IFTTT empowers people to do more with the services they love. We work with over 360 apps, services, and devices including Facebook, Twitter, Philips Hue, Dropbox, Google, Nest, FItbit, BMW, and Slack, with Applets. Applets bring these services together to create new experiences of all types, from automating simple tasks to transforming how someone interacts with and controls their home. We believe creative control of the services we use should be intuitive and accessible to everyone. IFTTT is VC funded, and every year over 100 new services join the platform.