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Senior Data Engineer designing and maintaining enterprise data pipelines and lakehouse architecture using Microsoft Fabric, Azure, SQL Server, and Oracle Cloud Infrastructure for a large dairy cooperative.
The Azure DevOps Engineer will design, automate, and support cloud-native infrastructure and CI/CD pipelines for a central government client's Azure Data Platform. The role focuses on Infrastructure as Code, platform automation, and maintaining resilient services using tools like Terraform, Azure DevOps, and various monitoring solutions.
Data Engineer bridging Azure pipeline architecture and ML forecasting model development for enterprise-scale workforce analytics, using Azure SQL, Databricks, Python, and Power BI.
The Senior Software Engineer will design, develop, and maintain enterprise-scale data warehouse solutions and ETL/ELT pipelines. The role involves working with cloud platforms, big data technologies, and data modeling to support analytics and reporting within an agile environment.
The Principal Data Solutions Architect provides strategic and technical leadership for client data projects, designing scalable cloud-based data architectures and roadmaps. The role involves leading delivery teams, mentoring staff, and supporting business development using technologies like Azure, AWS, Snowflake, and Databricks.
Senior Analytics Engineer designing and maintaining ELT pipelines and dimensional data models in Google BigQuery using SQL, Python, and dbt to deliver clean datasets to end users.
Azure Data Engineer at TCS designing and developing ETL/ELT data pipelines using Azure Databricks, Azure Synapse, and Azure Data Factory on the Azure cloud platform.
Owns and operates an enterprise data platform on Microsoft Fabric, designing lakehouse architectures, building ingestion pipelines from ERP/CRM systems, and maintaining Power BI semantic models while working directly with business stakeholders.
Design and implement scalable Databricks Lakehouse data platforms and lead ETL modernization from Informatica to Databricks using Spark, PySpark, and cloud infrastructure.
Design and implement scalable Databricks Lakehouse data platforms and lead ETL migration from Informatica to Databricks, working with Spark, PySpark, and Delta Lake on cloud infrastructure.
The Data Scientist will collaborate with cross-functional teams to implement data-driven solutions, analyze complex data models, develop and deploy machine learning models for predictive analytics, and create data visualizations using tools like Azure Databricks, Apache Spark, and Power BI.
Build reusable, scalable Python packages and services for data ingestion, transformation, and data-driven products on a data platform using Python, Spark/PySpark, Azure Synapse, Databricks, and cloud storage.
The Data Engineering Sr. Associate designs and maintains scalable data pipelines, ETL/ELT processes, and data warehouse solutions using cloud technologies like Azure, Spark, and Databricks. The role involves collaborating with cross-functional teams to ensure data quality, governance, and performance optimization.
Data Engineer designing and building BI/Big Data data streams and real-time dashboards for ProRail's logistics department, working with Azure Synapse and Microsoft Fabric in a DevOps team.
Cloud Data Engineer designing and implementing ETL processes and data solutions on Microsoft Azure, collaborating in multi-disciplinary teams within a Business Analytics unit.
Data engineer building BI and Big Data solutions for ProRail's logistics department, migrating on-premise BI to Azure Synapse and Microsoft Fabric, and developing scalable data pipelines with PySpark and SQL.
Job Title: Business Data Analyst (Migrations) Contract Type: Permanent Location: Edinburgh or Glasgow or Alderley Park (Wilmslow) Working style: Hybrid 50% home/office based We have a fantastic opportunity for a…
Build and maintain data pipelines for AI-driven consulting projects, using SQL, MPP platforms, and transformation tools to move and transform data for Fortune 1000 clients.
Builds and maintains cloud data pipelines in Azure, migrating Synapse workflows to ADF/Databricks, testing, and deploying production data processes for a transportation ITSM project.
The Data Engineer will design and maintain robust ETL pipelines, data APIs, and storage solutions to support rail industry analytics and software products. The role involves working with cloud platforms like AWS or Azure and collaborating in an agile environment to solve complex operational challenges.
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