Data Engineer – multiple openings
Title: Data Engineer
Duration: 6 months +
Must have's: Strong Sql, Python
Interview Details: All candidates will need to demonstrate their Python and SQL knowledge via a technical phone interview prior to moving to an onsite interview. All candidates will be expected to interview locally for the onsite interview. Also any candidates who are relocating will be expected do so without assistance.
Your efforts will allow accessibility to business and user behavior insights, leveraging huge amounts of data to fuel several teams such as Product, Engineering, Marketing, Growth, Finance and many others. You’ll be diving deep into our vast incoming data streams, crafting structured schema, and presenting data to the right stakeholders to impact decisions across the company.
The ideal candidate is technically savvy, business minded, and exceptionally driven. If you’re sharp, highly analytical, resourceful, have sound engineering skills and can communicate complex ideas with ease, then we’d like to talk to you.
Own and architect data models used across various stakeholders
Partner with analysts, engineers, and business stakeholders to understand data visualization needs and domains
Develop well designed, end-to-end data solutions that enable crucial decisions at all levels
Support project development life cycles through data modeling, transformation, reporting and analytics on big data
Enable our consumers by designing well structured training and documentation
Experience & skills:
B.S. in a computer science or other technical field
5+ years industry experience building ETL and data modeling
Expertise in SQL query performance optimization (Redshift, PostgreSQL) and big data frameworks (Hive, MapReduce)
Experience in ETL development using Python is preferred