Data Engineer

Position- Data Engineer

Client Location/Address: 2929 Walker Ave Grand Rapids, MI 49544

Submittal Requirements

3-5 Must Haves (need to be highlighted in sizzle & present on resume)

• Strong Data Engineering experience w/ Azure Data Factory, Log Analytics, Databricks
• Experinece in an Agile/SAFe environment
• Experience with Salesforce and/or Google Marketing Platform
• Marketing experience

Job Description

• 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, Google Cloud Platform 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.

Required Experience:

• 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

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