Senior Data Engineer
GrubHub leads in the mobile food-ordering industry with a portfolio of brands that includes GrubHub, Seamless, MenuPages and Allmenus. We’re dedicated to connecting hungry diners with local restaurants. With offices in New York City, Chicago and London, GrubHub supports every order with 24/7 customer service.
We want you to enjoy where you work. Who you work with. What you work on. At GrubHub, you can order your cake and eat it too.About the Opportunity:
Have you ever wondered who has the hottest sushi in town or which neighborhood sells the most pizza? GrubHub has created a new role for a Data Engineer which will help us answer those questions and solve many more interesting data problems. GrubHub has a wealth of local restaurant data and you'll work with the team that takes advantage of that data and delights our consumers with surprising insights and awesome products.
Some Challenges You’ll Tackle:
Develop compelling PoC’s for data solutions using emerging technologies for real-time and big data ingestion and processing
Contribute to designing, building, and deploying high-performance production platforms/infrastructure to support data warehousing, real-time ETL, and and batch big-data processing; help define standards and best practices for enterprise usage
Design, build, and maintain processes and components of a streaming data/ETL pipeline to support real-time analytics (from requirements to data transformation, data modeling, metric definition, reporting, etc)
Focus on data quality - detect data/analytics quality issues all the way down to root cause, and implement fixes and data audits to prevent/capture such issues
Collaborate with data scientists to design and develop processes to further business unit and company-wide data science initiatives on a common data platform
Translate business analytic needs into enterprise data models and ETL processes to populate them
You Should Have:
Bachelors in Technology, Science, Statistics or Math degree preferred but equivalent experience will be ok
8-10 years of data engineering experience in traditional data warehousing/ETL and/or big data pipeline & processing environments
Strong data modeling and SQL experience (Dimensional/Star, Transactional/3NF)
Strong programming experience with any of: Python, Scala or Java
Experience with emerging big data processing technologies (Spark, Storm, Kafka, Flume, Pig, Hive, Sqoop, Hadoop/MapReduce, etc)
Experience with columnar storage and massive parallel processing data warehouses (Redshift preferred)
Experience modeling and querying for NoSQL databases (Cassandra preferred, HBase acceptable)
Experience working within the Amazon Web Services (AWS) ecosystem (S3, EC2, etc)
Experience working within agile software engineering methodologies
Strong analysis and communication skills required
Experience with one or more ETL/Data Integration frameworks (e.g., Talend, Informatica, Pentaho, etc.)
Exposure to BI/analytics platforms (e.g., Tableau, Microstrategy, etc.)
Familiarity with statistical methods and experimentation (A/B testing)
And Of Course, Perks!:
Unlimited paid vacation days. Choose how your time is spent.
Never go hungry! We provide weekly GrubHub/Seamless credit.
Regular in-office social events, including happy hours, wine tastings, karaoke, bingo with prizes and more.
Company-Wide Initiatives encouraging innovation, continuous learning and cross-department connections.
Grubhub is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. The EEO is the Law poster is available here: DOL Poster. Grubhub is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to [email protected] and let us know the nature of your request and your contact information.