Overview
Skills
Job Details
Description: Location: Hybrid Must be local and able to work hybrid schedule M-W onsite TH/FRI remote.
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.
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.
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, 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.
Details:
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