Job Location: Atlanta, GA
Job Detail:
Data Engineer 5 – Cloud
Location : Atlanta GA , NY , Phoenix, AZ
Salary : Around 150K
NO C2C
The individual will be responsible for, design, Architecture, and implementations with product, business, Vendors & technology teams using relevant technologies from the Google Cloud Platform, Google Marketing Platform, Google Customer Platform, Big Query, AI & ML platform including data services to build and manage Martech & Customer data platform that will drive personalization, digital marketing, CRM & loyalty. Other responsibilities & skills include
Responsibilities
Engage in building and managing a Customer data platform constituting Customer 360 that is foundational to advanced analytics and personalization.
Create and deliver meaningful analytics and reporting to monitor and show progress to Marketing Operations, Product and Business needs
Build and scale services infrastructure that exposed data to other systems (website) and third parties
Architect and Design Cross-platform, Mobile API is driven marketing data collection and activation and attribution for iOS and Android platforms
Maintain knowledge of industry best practices in Digital Marketing, Cookie degradation, Compliance and Consent based marketing and trends in new technologies i.e., IDFA, AAID, GDPR, CCPA etc.,
Work effectively using scrum with multiple team members to deliver analytical solutions to the business functions.
Perform production support and deployment activities
Requirements
5-8 years of Marketing technology driven software development or industry experience with ability to contribute to an end-to-end architecture and solution overview using multi cloud Google Cloud Platform (GCP), Azure, Adobe Cloud platform technology tools
Experience in working with/on data platforms, including data & analytical systems, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
Familiarity with multi cloud computing i.e., Azure, GCP, Adobe etc.
Experience in Big Data, information retrieval, data mining, or Machine Learning.
Experience in working on Google compute engine and App Engine
Experience working with marketing data structures using Google Cloud Storage, Cloud SQL, GCP Cloud Data Flow, Google Cloud Data Prep, BigQuery & Compute Engine, Cloud Big Table, Cloud CDN for Google Marketing & G Suite.
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