Some Challenges You’ll Tackle
Duties: Thread business requirements through our state-of- the-art data and tech stacks, which
includes infinitely scalable microservices backed by a robust big-data engine. As an early
member of the Decision Data team you'll have lots of influence on our patterns and practices as
the team grows and evolves. Take a problem, break it down, find commonalities that will enable
wins cross business unit. Collaborate with the right people to define and refine scope and
priorities. Do deep dives on business verticals and become one of the foremost experts on that
vertical in the company Analyze data to measure impacts of data schemas and use it to iterate on
improvements. Translate from technical to business, and vice versa.
You Should Have
Requires a Bachelors degree in Information Technology, Computer Science, Statistics,
Mathematics, or a related field, plus 5 years of data engineering experience in traditional data
warehousing or in big data and pipeline processing environments. Also requires 5 years of
experience with each of the following: data modeling; SQL; programming in Python, Scala, or
Java; using Spark, Storm, Kafka, Flume, Pig, Hive, Sqoop, or Hadoop/MapReduce; columnar
storage; massive parallel processing data warehouses; modeling and querying for NoSQL
database(s); working within the Amazon Web Services (AWS) ecosystem; working within Agile
software engineering methodologies.
In the alternative, employer will accept a Master's degree in Information Technology, Computer
Science, Statistics, Mathematics, or a related field, plus 2 years of data engineering experience in
traditional data warehousing or in big data and pipeline processing environments, along with 2
years of experience with each of the following: data modeling; SQL; programming in Python,
Scala, or Java; using Spark, Storm, Kafka, Flume, Pig, Hive, Sqoop, or Hadoop/MapReduce;
columnar storage; massive parallel processing data warehouses; modeling and querying for
NoSQL database(s); working within the Amazon Web Services (AWS) ecosystem; working
within Agile software engineering methodologies.
