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U

Azure Data Engineer

UST
Location not stated
Manager or above
1 week ago
  • Azure
  • ETL
  • ELT
  • Azure Data Factory
  • REST API
  • Excel
  • Azure Synapse
  • Azure Databricks
  • Apache Spark
  • Snowflake
  • Azure DevOps
  • CI/CD
  • Azure Functions
  • Logic Apps
  • Microsoft Fabric
  • Data Architecture
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We are seeking a highly skilled and passionateLead Data Engineer to join our growing Data & Analytics team. In this role, you will be responsible for designing, developing, and managing end-to-end data solutions on the Microsoft Azure platform. You will play a critical role in enabling reliable data ingestion, transformation, storage, and analytics capabilities that support business operations, reporting, and strategic decision-making.

The ideal candidate will have strong experience in Azure Data Engineering technologies, data warehousing, ETL/ELT development, and cloud-native data architectures, with the ability to translate business requirements into scalable and efficient data solutions.

Key Responsibilities

  • Design and develop end-to-end data pipelines usingAzure Data Factory (ADF).
  • Ingest data fromREST APIs, SharePoint, Excel, and ADLS Gen2.
  • Build scalableETL/ELT solutions usingADF Mapping Data Flows and metadata-driven frameworks.
  • Develop and optimize data models, data warehouses, and analytics solutions usingAzure Synapse Analytics.
  • LeverageAzure Databricks andApache Spark for large-scale data processing.
  • Implement data quality, validation, and monitoring processes to ensure reliable datasets.
  • Collaborate with business and technical teams to deliver robust data solutions.
  • Monitor, troubleshoot, and enhance production data pipelines.

Required Skills

  • 8+ Years of Strong hands-on experience withAzure Data Factory (ADF), including pipeline orchestration and Mapping Data Flows.
  • Experience withAzure Synapse Analytics,ADLS Gen2, andAzure Databricks.
  • Expertise inREST API integrations, authentication, pagination, and error handling.
  • Strong knowledge ofETL/ELT, data pipeline design, incremental loading, and data validation.
  • Experience inData Warehousing,Dimensional Modeling, Star Schema, and Snowflake Schema.
  • Good understanding of metadata-driven architecture and scalable cloud data platforms.

Preferred Skills

  • Experience withAzure DevOps (CI/CD pipelines).
  • Hands-on exposure toAzure Functions andAzure Logic Apps.
  • Knowledge ofMicrosoft Fabric and modern data architecture patterns.
  • Azure certifications such asDP-203 are a plus.

Azure Data Engineer · UST

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