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Designs and builds data pipelines, ETL workflows, and Power BI reports using Azure Fabric and SQL Server for international clients.
Senior Data Engineer builds and maintains Azure/Fabric-based data pipelines, ETL workflows, and Power BI dashboards for enterprise clients, ensuring data quality and translating business needs into technical solutions.
Build and optimize SQL-based data pipelines and ETL/ELT workflows using Azure Data Factory, Microsoft Fabric, and cloud technologies for analytics and reporting.
Designs and leads end-to-end Azure-based data, analytics, and AI solutions, including Power BI, Databricks, and Azure OpenAI, ensuring security, scalability, and governance.
Build and maintain Medgate’s cloud data platform using Azure Databricks, dbt and Power BI to turn telemedicine data into trusted insights for doctors and patients.
Lead data migrations and build Azure-based ETL pipelines for a financial services client, using SQL, Oracle, MS SQL Server, Azure Data Factory, Synapse, and Databricks.
Build and maintain cloud data pipelines using Azure Data Factory and Databricks to ingest, transform, and expose data for analytics and AI workloads.
Builds and optimizes scalable data pipelines using Microsoft Fabric, Azure Data Factory, and PySpark to power real-time analytics and reporting for a semiconductor firm.
Designs and builds scalable data pipelines and lakehouse architectures using Azure Data Factory, PySpark, and SQL to enable analytics and compliance.
Design and build scalable ETL pipelines, migrate data to Azure, and model databases for a fintech firm using SQL, Python, and Azure services.
In this role as the Senior Data Engineering Executive, you will design, build and operate QL Group’s enterprise data platform on Microsoft Fabric, delivering reliable, high-quality data that powers analytics, AI, and…
Lead the design and maintenance of a scalable, AI-ready data platform using Azure tools, ensuring high-quality data pipelines and models for analytics and machine learning.
Design and build scalable data pipelines on Hadoop, Azure, and PySpark, then orchestrate and monitor them with Airflow and Kafka to deliver clean, reliable data products.
Build and maintain scalable data infrastructure and ETL pipelines using Azure tools to support analytics and AI initiatives for IKEA’s retail operations in Malaysia.
Designs and builds enterprise data pipelines using Microsoft Fabric, Azure Synapse, and Spark to power analytics and AI workloads in a cloud data platform.
Build and optimize end-to-end data platforms using Microsoft Fabric, Azure Data Factory, and Power BI, then deliver AI-driven analytics and dashboards for enterprise customers across APAC.
Job Brief Lead the Data Engineering team in building, maintaining, and enhancing the organization's data platform to support reporting, analytics, and business decision-making. Responsible for managing data…
Build and maintain Azure data pipelines using Data Factory, Databricks, and SQL, plus API integrations and Power BI datasets.
Designs and maintains scalable data pipelines using Azure Data Factory and Databricks to power analytics and decision-making systems.
Build and maintain scalable data pipelines using Azure Data Factory, Databricks, and ETL tools like dbt or Airflow, with a focus on performance, cost, and data quality.
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