Associate Data Engineer

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
Sql, Azure Synapse Analytics