Vettery is fundamentally changing the way people hire and get hired. Leveraging machine learning models that track real-time data, monitor trends and predict hiring behavior, we’re able to help companies grow their teams with more accuracy, speed, and compatibility. We’re currently working with over 15,000 companies of all sizes, ranging from Fortune 500 giants to startups based out of co-working spaces.
Vettery engineers are working to build a highly innovative platform enabling an efficient experience for our users. Our engineers work across the full stack building highly scalable distributed solutions to enable exponential customer and business growth. Vettery engineers have input into the whole process of the company from business decisions to where our tech stack is going. Our engineering team works on a huge array of projects and are constantly incorporating new technologies into the stack.
Who you are:
Self-starter who can work in a highly demanding environment and maintains a positive attitude
5+ years of data engineering experience
Experienced in Big Data development using AWS EMR, SQOOP, Hadoop, Spark, and HDFS
Expert with one general purpose programming language, including but not limited to: Java, Scala, Python
Awareness of new and emerging Big Data technologies and trends
Advanced degree in computer science, engineering or a related field
What you'll do:
Design, develop and maintain end-to-end data pipelines across multiple data sources and systems of record.
Develop and design data models, data structures and ETL jobs for data science consumption
Manage and maintain cloud based data and analytics platform
Work in a highly agile development environment and practice Agile/Scrum methodology
Participate in hackathons, team outings, lunches and other team building events.