Our client is hiring for a Data Engineer! They are a marketing and advertising company specializing in delivering high quality products through continuous focus on data-driven decisions and creation of engaging content. They are in the process of scaling their engineering team into a robust development team.
We are seeking a data engineer with a firm handle on AWS and Google stack data pipelines. Our current data ingestion pipeline consists of Lambda, Kinesis, Firehose, Redshift, PySpark and Airflow. As our Data Engineer, you will be combining behavioral data, business systems data, transactional data and third party data into a real-time analytics pipeline that drives all of the critical business decisions we make. This role has a wider scope than the traditional Data Engineer role so you will have an immediate impact on every aspect of a rapidly growing business. You will have decision making ability to suggest and improve on our current services and architecture to ensure we are consistently using the best solutions possible.
Requirements: Python AWS and Google stack SQL expert NoSQL, mcache and Scale are pluses EC2 is a plus Chef, Docker and Puppet are pluses Data pipelines Shell scripting.