Sr. Data Engineer in Scottsdale, AZ at MDI Group

Date Posted: 7/5/2018

Job Snapshot

Job Description


Sr. Data Engineer 

Location: Scottsdale, AZ

    
Introduction:

Data has become a cornerstone of innovation in today’s society.  We believe in the importance of data to drive student success.  As a Senior Data Engineer, you would be responsible for enabling students to succeed by unlocking the potential of their data.

A Day in the Life as a Data Engineer:
As a Senior Data Engineer, you have a passion for the value and capability of data and information.  You have a keen eye for the possibilities of data for our students and teachers.  You’re comfortable working in a fast paced, agile, team environment where you work with product engineers to take data from the production systems and formulate that information into events or move them to a warehouse or lake.  From there, you need to be a master at managing, organizing, and querying that data so that  students, teachers, and staff can use it to make key decisions.  Some of the work you do will be directly fed back to users in reports, some will make smart decisions about how to optimize our student’s day-to- day experience, and some will guide our product into the next generation.  You will be working on a relatively new data team, which means you will have a strong say in the direction and design of the data systems and will be expected to push the envelope.

Qualifications:
At least 8 years of experience in a hands-on, data centric role with data engineering, architecture, streaming, or warehousing.
Comfortable working in an agile and/or lean development environment.
Hands-on background with both relational and noSQL databases such as MS SQL or MongoDB.
Experience with modern data pipelines, data streaming, and real time analytics using tools such as Apache Kafka, AWS kinesis, Spark Streaming, ElasticSearch, or similar tools.
Strong programming abilities with Java, Pig, Python, or other similar languages.
Experience with big data tools such as Hadoop or Hive, as well as knowledge of more traditional warehouses.
A strong ability to understand and organize data from various sources.
Knowledge of machine learning tools and concepts a plus.


A GREAT PLACE FOR GREAT PEOPLE TO WORK

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