The Role
Build and operate cloud-native Azure data pipelines from source ingestion through Bronze-Silver-Gold transformation layers. Develop Fabric Dataflow Gen2 pipelines, Delta Tables, Synapse SQL evaluation logic, and event-driven integrations using Azure Event Hub and Event Grid. Perform data quality validation, schema reconciliation, lineage verification, and parallel-run testing across multiple domains. Extend configuration-driven frameworks and support sprint-based delivery across concurrent workstreams.
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
Required Skills & Experience
- 3+ years of experience in data engineering, ETL/ELT development, and cloud data pipeline delivery
- Strong hands-on experience with Microsoft Fabric (Dataflow Gen2, Lakehouse, Delta Tables) and Azure Synapse Analytics
- Proficiency in SQL for complex data transformation, evaluation logic, and cross-domain queries
- Experience building event-driven pipelines using Azure Event Hub and Event Grid
- Familiarity with config-driven or metadata-driven data pipeline frameworks
- Experience with Microsoft Purview for data lineage registration and catalog management is advantageous
- Ability to work in sprint-based delivery environments with multiple concurrent workstreams
- Strong attention to detail and ability to validate complex data flows end-to-end across multiple systems
Skills Required
- 3+ years of experience in data engineering, ETL/ELT development, and cloud data pipeline delivery
- Hands-on experience with Microsoft Fabric, including Dataflow Gen2, Lakehouse, and Delta Tables
- Proficiency in SQL for complex data transformation, evaluation logic, and cross-domain queries
- Experience building event-driven pipelines using Azure Event Hub and Event Grid
- Familiarity with configuration-driven or metadata-driven data pipeline frameworks
- Experience with Microsoft Purview for data lineage registration and catalog management
- Ability to work in sprint-based delivery environments with multiple concurrent workstreams
- Strong attention to detail and ability to validate complex data flows end-to-end across multiple systems
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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.
