Description
Azure Data Engineer - Retail Media
Main Skill:
DATA
Domain Skills:
AZURE, DATA, PYTHON
Nice to Have Skills:
JAVA
Responsibilities
• Ingestion and Integration: Collect data from advertising campaigns (impressions, clicks, conversions) and cross-reference it with transactional data.
• Modeling and Organization: Structure data for performance analysis, attribution and monetization.
• Data Pipelines: Develop ETL/ELT in Azure Data Factory, Databricks, and Delta Lake.
• Streaming and Near Real-Time: Implement solutions for high-frequency event ingestion (Kafka, Event Hub).
• Quality and Governance: Ensure compliance with LGPD/GDPR, anonymization and lineage with Unity Catalog.
• Integration with Analytics Platforms and AdTech: Prepare data for Analytics Team (BI) and activation environments (DSPs, CDPs, Data Clean Rooms).
Technical Skills
• Cloud: MS Azure (Data Lake, Data Factory, Key Vault).
• Big Data: Databricks (Py Spark, Delta Lake).
• Languages: Python, SQL.
• Governança: Unity Catalog, LGPD/GDPR.
• Orchestration: Azure Data Factory
• CI/CD: Git, Azure DevOps.
• Monitoring: Log Analytics, alerts.
Differentials
Specific Knowledge of Retail Media
• Ecossistema AdTech/Mar Tech: DSP, SSP, Ad Servers, DMPs, CDPs.
• Digital média metrics: CTR, CPC, ROAS, impressions, clicks, conversions.
• Attribution models: Last-click, multi-touch, incrementality.
• Ad platform APIs: Google Ads, Criteo, The Trade Desk, Amazon Ads.
• Privacy applied to advertising: Consent, anonymization, digital IDs (cookies, device IDs, hashed emails).
• Data Clean Rooms: Concept and integration for secure data sharing.
Azure Data Engineer • são paulo, Brazil