Marketing Data Engineer
Location: Grand Rapids MI Hybrid - (3 days onsite)
Duration: 6 months Contract
Candidates who can work independently are more preferred
Local candidates are more preferred.
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 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.
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
Bachelors 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
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.
Marketing Data Engineer Location: Grand Rapids MI Hybrid - (3 days onsite) Duration: 6 months Contract Candidates who can work independently are more preferred Local candidates are more preferred. Job Description: Designs codes tests and implements data movement pipelines dashboarding and anal...
Marketing Data Engineer
Location: Grand Rapids MI Hybrid - (3 days onsite)
Duration: 6 months Contract
Candidates who can work independently are more preferred
Local candidates are more preferred.
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 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.
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
Bachelors 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
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.
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