Azure Data Engineer
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Key skills for this role
About the Role
Provision cloud infrastructure, build identity resolution services, maintain warehouse models, and implement data layer erasure using Azure technologies and Python.
Key Skills for This Role
Full Job Posting
Overview
- Provision cloud infrastructure as code across multiple environments: event bus, data lake, warehouse
- capacity, and supporting services.
- Cost monitoring baked into every resource.
- Build a deterministic identity resolution service that examines incoming events, resolves identifiers across
- source systems, assigns stable person IDs, and runs backward stitching to retroactively link anonymous
- events to known persons.
- Implement SCD2 versioning and hysteresis to prevent identifier flapping.
- Build and maintain a warehouse model with bronze/silver/gold structure covering customer profiles, event
- history, orders, products, inventory, consent, segments, and platform operational logs.
- Tests on every model.
- Implement a consent and suppression layer applied at every audience export — per person, per channel,
- per purpose — with a global do-not-contact override.
- Deploy and configure an orchestration platform covering ingestion, identity resolution, transformations, and
- activation, with schedules calibrated to source freshness tiers and Slack-integrated failure alerting.
- Build server-side conversion API integrations for major advertising platforms, using platform-specific
- identifier hashing and deduplication keys consistent with client-side pixels.
- Implement right-to-erasure at the data layer: both soft delete (PII tombstoned, aggregates preserved) and
- hard delete (rows removed).
- Monthly synthetic test verifies the pathway is functional.
- Configure observability, alert tiers, geo-redundant storage, and document disaster recovery procedures.
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