Job Description :

Ann Arbor, MI

12 months

In-person interview only


atRetail store innovation initiatives

Customer Personalization/Loyalty Program projects

Minimum Requirements:

Bachelor's degree in computer science, information technology, engineering, business administration or related field.

Understands the capabilities of key technologies (Data modeling, data processing, BI analytics) and can quickly assess the applicability of commercial off the shelf technology.

Understands, can participate in, and can lead data integration solution design.

Strong communication skills (oral and written

Good analytical and problem solving skills.

Fluent in relational database concepts and data processing concepts.

Understanding of the software development lifecycle including agile methodology.

3 to 4 years experience using standard ETL tools; experience with Talend a plus.

3 to 4 years experience with Relational DBMS technology - SQL Server a plus.

3 to 4 years experience in developing procedures, packages and functions in DW environment

2 to 4 years of Service Oriented Architecture (SOA

Deep experience in ANSI SQL, Stored Procedures, XML, Java, and shell scripting; experience with Map Reduce, Pig, Hive-QL Hadoop languages a plus.

Knowledge of CRM, MDM, and Business Intelligence a plus.

Candidate must be thorough and detail-oriented.

Able to work on multiple priorities in a deadline-driven environment.

Notes about the Req:

These are two data integration specialist roles inside our Enterprise Information Management team for 2018

Job Description:


Provides thought leadership to deliver creative and efficient data related technical solutions.

Gather requirements and construct documentation to aid in maintenance and code reuse in accordance with team processes and standards.

Design, code, and test major data processing features, as well as work jointly with other team members to provide complex software enhancements for the enterprise data storage platforms.

Design and develop SQL / Java based processes to perform complex data transformation processes.

Monitor scheduled jobs and improve reliability of ongoing processing.

Monitor, measure, and enhance ways to improve system performance.

Works with BI and Ops reporting development resources to turn data into meaningful information analytics.

Coordinate and participate in application testing and quality inspections.

Participate in code reviews in accordance to standards.

Must be able to remain calm in pressure situations and adapt quickly to change.

Must have the ability to work independently, with minimal supervision.

Performs other duties as assigned