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Hands-on Solutions Engineer designing and delivering enterprise-scale data engineering solutions on Microsoft Azure and Microsoft Fabric, building data lakehouses, pipelines, and platforms for public sector and regulated industry clients.
Design, build, and maintain scalable data ingestion and transformation pipelines using Databricks, Python, PySpark, and SQL in cloud environments to support analytics and AI initiatives.
The Lead Data Engineer will design, develop, and optimize enterprise-scale ETL/ELT pipelines and data processing solutions using Azure technologies like Synapse, Databricks, and Spark. The role involves leading technical initiatives, mentoring team members, and ensuring data quality and platform reliability.
Senior Data Engineer building scalable data platforms, ETL/ELT pipelines, and data lakes on Azure and AWS using PySpark, Databricks, and Apache Spark.
Design, develop, and maintain scalable ETL data pipelines on Databricks and Azure, integrating diverse data sources to support analytics, reporting, and ML while ensuring governance and reliability.
Design and deliver end-to-end Azure data analytics solutions using Azure Data Factory, Databricks, and SQL services to build models and reports for enterprise clients.
Designs, maintains, and optimizes SQL Server and Azure-based data platforms, ETL pipelines, and BI reports to ensure reliable, high-performance data access for business analytics.
Cloud Data Engineer at a consulting firm designing and implementing Azure-based data platforms, integration pipelines (batch and real-time), and optimizing data flows for client projects.
Big Data Engineer at Keyrus France building data pipelines and CI/CD processes using Scala, Spark, and cloud platforms (GCP, AWS, Azure) for client consulting projects.
The Data Analyst transforms raw data into actionable insights by collecting, cleaning, and analyzing datasets from multiple sources. They build dashboards/reports in Power BI/SSRS, apply statistical modeling, and collaborate with stakeholders to drive data-driven business decisions using Microsoft Azure tools and SQL.
Design, build, and support cloud data solutions on the Microsoft Azure stack—including Data Factory, Synapse, and Databricks—for government and healthcare clients at a data-focused consulting firm.
Data Engineer / Big Data Developer at Avanade France designing and developing streaming data pipelines (Spark Scala, Python, Java, Kafka) and optimizing Big Data platforms on Azure cloud for diverse client sectors.
Senior Data Engineer designing and building scalable, cloud-native data platforms with event-driven ingestion pipelines, primarily using Spark/PySpark, Databricks/Snowflake, and a major cloud provider (Azure preferred).
Designs and builds enterprise data pipelines and models using Azure and Microsoft Fabric to centralize and cleanse data for analytics and business intelligence.
This role is for an Azure Data Engineer responsible for building and managing data pipelines using Microsoft Fabric, Azure Synapse, and Databricks. The position requires strong SQL skills and experience with Azure Data Factory and Power BI.
Build and optimize large-scale data pipelines and datasets using SQL, Snowflake, Databricks, Spark, and Azure services to support ML/AI and business analytics for Paychex's HCM platform.
Builds and optimizes cloud-based data pipelines (ETL/ELT) using Microsoft Fabric/Azure Data Factory, focusing on API integrations, Lakehouse/Data Warehouse architecture, and stakeholder collaboration.
Data Engineering intern at SATS Ltd in Singapore, helping build and optimise ETL pipelines, integrate data into cloud platforms, and support analytics using SQL, Python, Azure, and Databricks.
The software developer will design, develop, and optimize data integration and transformation processes for KYC, compliance, and reporting applications within the Azure cloud. The role involves building stable data pipelines, managing REST-based APIs, and supporting the maintenance of SaaS-based KYC platforms.
Data Engineer building and optimizing data pipelines and ETL/ELT processes in Microsoft Azure (Data Factory, Databricks) to support AI/ML infrastructure, collaborating closely with Data Scientists at a private university.
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