Senior Data Engineer

Position: Data Engineer Duration: 1 year contract - extensions • • Will Consider FTE for the right candidate • • Location: Hybrid - 3 days a week in office- Grand Rapids. Open to relocation: will give candidates time to relocate to Grand Rapids Interviews: 2 rounds Urgent and looking to fill ASAP! Must Haves: • 5+ Years of experience as a Data Engineer. • Design and hands-on development on either vendor or internal applications and interfaces • Experience with Azure. • Marketing platform experience is a MAJOR PLUS. • Experience with campaign setup and pacing, campaign execution. • Marketing and media experience - with data sourcing and targeting. • Python and SQL. • Databricks experience. Day to Day: This candidate will join our large retail client based out of Grand Rapids to help on a large marketing platform initiative. They will be responsible for hands on development on both their vendor and internal applications. In addition to this, they will be responsible for data ingestion into and out of their marketing platforms. On a day to day basis, they will Interface with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams. -Designs, codes, tests, and implements data movement pipelines, dashboarding and analytical assets; develops system documentation according to SAFe Agile principles and industry standards. -Design and hands-on development on either vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2, GCP Cloud storage and Big Query. -Assist in configuration and administration of marketing platforms (Google Marketing platform, Salesforce MCI, The Trade Desk etc., ADvendio) that the team supports -Build data ingestion into and out of the above listed marketing platforms. -Gathers and implements functional and non-functional requirements including performance monitoring, alerting and code management and ensuring alignment with technology best practices and SLAs. -Partnering with all areas of the business to gather requirements for Data and Analytics and designing solutions. -Participate in agile ceremonies and follow agile cadence to build, test and deliver solutions Driving engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions. -Interfaces with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams.