Sr. Data Engineer
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
- 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
Got These? Even Better:
- 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)
- 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.
We deliver favorites every day. Join us as we move eating forward.
*GrubHub Inc. is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION employer.