Data Engineer

Headout is evolving the way people discover the world by connecting them with exceptional experiences at the push of a button. We are building a magical platform that gets people to head out and have fun in a matter of seconds; no matter where you are and what you want to do. We are combining a delightful product experience, data-driven decisions, sophisticated supply side logistics network, and world-class operations to solve a huge basic human problem: how do we have a good time?

We’re growing rapidly with over $200M in annualized sales, 150,000 monthly transactions, and profitable unit economics. We are backed by some of the finest investors in Silicon Valley & India. Learn more about us at https://www.headout.com

Job Description

Data and Insights are at the core of what we do at Headout. As a Data Engineer at Headout, you will be working with other members of the Analytics team and business teams including Product, Marketing, and Operations to ensure everyone at Headout has access to clean, reliable, and curated data. The tools and processes you create will have a lasting impact on data models development and deployment, performance and outcomes reporting, as well as data monitoring.

Responsibilities

-Build and improve our data warehouse and Business Intelligence systems to make data standardized and easily accessible

-Understand the full lifecycle of data from numerous sources and model it for easy analysis

-Consistently evolve data model & data schema based on business and engineering needs

-Implement systems tracking data quality and consistency

-Build a system that enables self-service analytics and paves the way for data science applications across our businesses.

Skills required

-You're excited by what we’re doing at Headout, and you can’t wait to explore our data

-You have hands-on experience with schema design and data modeling

-You have knowledge of and familiarity with analytical warehouses (we use BigQuery)

-You have a solid understanding of SQL and Python and are comfortable working them every day

-You have exposure to data pipeline tools within cloud-based environments (we use dbt and Airflow)

-You have excellent communication in sharing context to effectively collaborate with analytical partners, domain experts, and other consumers of your work, preferably in supporting an engineering or product function.

-You’re adaptable, curious, and enjoy learning new technologies and ideas