Marketing Data Engineer

Job Title: Marketing Data Engineer Location: Grand Rapids, MI (Hybrid) Contract or Perm: Contract Duration: 6+ months Must have They are looking for candidates who understand the Google Marketing Platform (DV360, CM360, GAM360), Trade Desk and social platforms like Facebook, Pinterest etc. They also would like experience with campaign setup and pacing in the platform. Data movement from and to this platform is a must. Candidate needs to have Azure data movement and data engineering experience of 2-3 years and overall ETL experience of 5-7 years. Python and Databricks knowledge is a must. Candidate needs to be ready for hybrid work (M-W in Grand Rapids, MI) from day 1 **Resume needs to clearly explain following: what and how the candidate has used these platforms, what data they have moved and insights they have created from this data Preferred 6+ years industry experience (business application design, development, implementation, and/or solution architecture) Understanding of architecture practices and execution for large projects / programs. Experience building and designing data and analytics solutions on enterprise solutions such as Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2. Databricks experience is required. Experience designing data pipelines, ingestion, storage, prep-train, model and serve using above technologies, Automating Azure Workloads, Data quality, Governance/standards, Security and legal compliance in the Azure architecture Working knowledge of these tools preferred - Google Marketing platform, Salesforce MCI, The Trade Desk etc., ADvendio Experience with Marketing domain data ingestion and analytics a must Bachelor s degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering or related discipline or equivalent work experience and technical training is required. Excellent written and oral communications skills. Previous experience in Power BI, Data Modeling, Data Classification and zones, data movement, Data architecture and reporting Preferred knowledge and experience on Python and API architecture in Azure Any SAFe certification or training. Experience with multiple, diverse technical configurations, technologies, and processing environments. Exceptional interpersonal skills, including teamwork, facilitation, and negotiation