Data Engineer

Data Engineer – 1 year contract – Meijer – Grand Rapids, MI – hybrid onsite (3 days: Monday-Wednesday)

Candidate should understand Google Marketing Platform (DV360, CM360, GAM360), Trade Desk and social platforms like Facebook, Pinterest etc. Experience with campaign setup and pacing in this platform is a huge plus. Data movement from and to this platform is a must.

Candidate needs to have Azure data movement 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)

Job posting comment and/or resume needs to clearly explain following: what and how the candidate has used this platforms, what data they have moved and insights they have created from this data

Job Description

What You'll be Doing (Responsibilities):

- 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.

Additional Skills & Qualifications

What You Bring with You (Qualifications):

-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 plus 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