Vacancy Description
Experience building and supporting enterprise-scale data applications
Strong background in Data Warehousing, Data Lakes, and BI solutions
Designed and optimized large-scale data pipelines processing billions of records (Meta, Google, Expedia)
Supported marketing analytics use cases including segmentation, lifecycle analysis, demand forecasting, and campaign tracking
Experience handling PII data, governance, and data retention policies
Hands-on experience with Google Cloud Platform
Skilled in data visualization, reporting, and data quality checks
Experience in collaborative environments and fast-evolving tech stacks
Exposure to ML, AI, and GenAI solutions
hands on exp in RestAPI, Webservices
Strong background in Data Warehousing, Data Lakes, and BI solutions
Designed and optimized large-scale data pipelines processing billions of records (Meta, Google, Expedia)
Supported marketing analytics use cases including segmentation, lifecycle analysis, demand forecasting, and campaign tracking
Experience handling PII data, governance, and data retention policies
Hands-on experience with Google Cloud Platform
Skilled in data visualization, reporting, and data quality checks
Experience in collaborative environments and fast-evolving tech stacks
Exposure to ML, AI, and GenAI solutions
hands on exp in RestAPI, Webservices
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