The Role
Build and operate cloud-native Azure data pipelines using Fabric Dataflow Gen2 and Event Hubs. Develop Bronze-Silver-Gold Delta table layers, maintain SQL evaluation logic in Synapse Analytics, validate data quality and schemas, verify lineage, and support parallel-run comparisons between automated outputs and source reports.
Summary Generated by Built In
About the Role
We are looking for a Data Engineer to build, extend, and operate cloud-native data pipelines as part of a large-scale Azure data platform. This role covers end-to-end pipeline development - from source system ingestion through Bronze–Silver–Gold transformation layers — along with configuration-based framework extensions, evaluation engine integration, and data quality gate management across multiple data domains.
Key Responsibilities
- Design and build end-to-end data ingestion pipelines for multiple enterprise source systems using Fabric Dataflow Gen2 and Event Hub connectors
- Implement Bronze–Silver–Gold Delta Table data layering following established schema and field mapping conventions
- Write and maintain SQL evaluation logic in Synapse Analytics for automated control assessment across multiple data domains
- Perform data quality validation, schema reconciliation, and lineage verification across all pipeline stages
- Support parallel-run validation activities ensuring data consistency between automated outputs and source reports
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The Company
What We Do
Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.
