Data Engineer II

Less than 5 years experience  •  Education.

Salary depends on experience
Posted on 04/20/18
Less than 5 years experience
Education.
Salary depends on experience
Posted on 04/20/18

Job Description

As a Data Engineer, you will design, build, and integrate data from various sources, and manage big data infrastructure that powers integrated analytics solutions and ad hoc data analyses

Key Responsibilities:

  • Work with engineers, analysts, and product managers to determine data needs
  • Design, build, and support the data warehouse for analytics solutions
  • Design, build, and support ETL processes for the data warehouse
  • Design, build, and support APIs that expose analytics data to other applications
  • Build data expertise and own data quality for data stored in the analytics data warehouse
  • Guide data analysts in adopting best practices with SQL queries
  • Define and manage SLA for all data stored in the analytics data warehouse

Minimum Qualifications:

  • Bachelor's degree in Computer Science or a related field
  • 3+ Years' relevant and demonstrable experience at an enterprise level   
  • Experience with Columnar, MPP data warehousing (e.g. Redshift) Cloud ETL tools (e.g. AWS data pipeline and S3)
  • Writing and optimizing SQL statements OLTP and OLAP data schemes
  • Integrating on premise DBs with, and migrating to, cloud
  • Scripting languages such as Python
  • Command line / terminal
  • Version control solutions such as Git 
  • Experience formulating and managing a vision, roadmaps and detailed plans Attention to detail and a good grasp of task feasibility and effort
  • Seeking an insatiable learner that is customer focused
  • Must be a good communicator and team player
  • Seeking a positive, “can-do” attitude while being pragmatic that is reliable and consistent
  • Must be collaborative, yet independent and able to show initiative
  • Must be able to adjust to change and can work in a fast-paced environment
  • Seeking an individual that is looking for a challenge and to take on broader responsibilities
  • Must have a strong desire/passion to work in the education industry

Preferred Qualifications:

  • Business intelligence and analytic toolsets such as Tableau
  • Streaming analytics (e.g. Kinesis, EMR, etc.)
  • Machine learning techniques and data science practices

JR189705

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