Data Engineer, Woot!

Job ID: 901065 | Woot Services LLC

DESCRIPTION

Do you feel passionate about data? Are you excited about figuring out ways slice, dice, and send data to multiple sources? Woot.com, the innovative company who invented the deal-of-the-day business model, is looking for a talented, self-motivated Data Engineer.

Woot specializes in daily deals across multiple categories and offers our customers unique content giving them many reasons to visit our website and mobile apps frequently.

As a result of strong business growth, we are looking for a DE to join our Data Team to further build and automate our reporting, high value action (HVA) recommending, and business prioritizing system to enhance team efficiency and effectiveness. The ideal candidate will be passionate about contributing to the team growth through his/her expertise in utilizing big data technology to answer business questions and identify growth opportunities. This person will build new business intelligence solutions as an owner end-to-end, at the same time, collaborate with data engineers and data scientists to automate recommendation and prioritization system.

To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, always applying analytical rigor to solve business problems. You should have strong business and communication skills and be able to work closely with product managers and business units to define key business questions and build data sets and models that answer them. Our DEs are expected to have a detailed understanding of our business and never lose sight of the broader problems that we are trying to solve.

The primary responsibilities of this role include:
- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
- Write SQL code to retrieve and analyze data from database tables (ex. Redshift, MySQL, DBs), and learn and understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use
- Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting
- Create pipelines for automated Use analytical and statistical rigor to solve complex problems and drive business decisions.
- Develop Machine Learning models
- Write scripts in Python for data processing

Congrats on making it this far! Woot has Screaming Monkeys, lots of Screaming Monkeys, oh, and bags of crap! If that's your thing, hit the "apply" button ASAP.

#ReinventRetail

BASIC QUALIFICATIONS

§ Bachelor’s degree in computer science, mathematics, statistics, economics, or other quantitative field
§ 3+ years of relevant work experience in a role requiring application of analytic skills to integrate data into operational/business planning or advanced degree
§ Strong experience with ETL development, data modeling, data warehousing, MySQL, and databases in a business environment with large-scale, complex datasets
§ Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required.
§ Experience in gathering requirements and formulating business metrics for reporting.
§ Experienced working in a fast-paced, high-tech environment and comfortable navigating conflicting priorities and ambiguous problems
§ Strong track record in converting data analysis into tangible and significant real-world changes.
§ Strong grasp of quantitative data analysis and statistics.
§ Python
§ AWS or Azure production development and managment
§ The ability to exclaim Woot!

PREFERRED QUALIFICATIONS

§ MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field
§ Expert in writing and tuning SQL scripts
§ Experience working in very large data warehouse environments
§ 3+ years of experience in a data engineer or BIE role with a technology company
§ Experience conducting large scale data analysis to support business decision making
§ Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
§ Be self-driven, and show ability to deliver on ambiguous projects with incomplete or dirty data.
§ Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams.
§ Strong dashboarding skills with Tableau/Microstrategy/Looker, etc.
§ Understand the meaning of Moofi