Data Engineer at Quotient Technology in Salt Lake City, UT

Description

Quotient Technology Inc. is currently seeking an Engineer for the Data Platform team to drive high quality data products and services to the market. This person will be responsible for design, develop and support products and services on top of our big data platform. This candidate demonstrates strong knowledge of data architecture and analytics development. Data quality as his/her passion, works well in some ambiguity. His / Her experience is filled with taking initiatives, patience, thoroughness, hands on working experience, willingness to work within a diverse distributed team. Possesses strong technical skills and prior experience in working with highly talented engineers is expected.

Position Responsibilities

• Individual contributor, Self-starter, able to work in a fast-paced environment with multiple priorities
• Design and implement frameworks for future needs in snowflake, cloud-based data platforms
• Managing the quality of big data platform(s) such that end users have trust and confidence in data
• Working with cross functional team in an agile development environment
• Forward looking, strategic thinker and executes with impeccable results
• Development must support data completeness, data transformation and data quality
• Work with diverse teams to make complex architecture decisions
• Work with multiple teams to manage goals, objectives and measure the results
• Learn, evaluate and adapt new tools/technologies to meet business and technical objectives

Qualifications

• 4+ years of experience in big data & data warehousing technologies
• Experience processing and organizing large data sets
• Experience with big data tool sets such Airflow and Oozie
• Experience working with Snowflake or MPP, Azure, GCP and AWS
• Experience developing in programming languages such as SQL, Python, Java or Scala
• Experience working with retail, advertising or media data at large scale
• Experience working with data science engineering, advanced data insights development
• Strong quality proponent and thrives to impress with his/her work
• Strong problem-solving skills and ability to navigate complicated database relationships
• Good written and verbal communication skills
• Demonstrated ability to work with product management and/or business users to understand their needs