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Principal AI Data Engineer
Designs and builds enterprise-scale AI data pipelines using Databricks, Delta Lake, and Azure OpenAI to deploy GenAI, RAG, and Agentic AI solutions in Python and SQL.
Data Platform Lead
Lead the design and implementation of an enterprise-scale data platform using Microsoft Fabric, Azure Data Factory, Synapse, and PySpark.
Data Engineer
Designs and builds scalable healthcare data pipelines using Azure Data Factory, SQL Server, and Python to integrate clinical, financial, and operational systems into a robust data warehouse.
Data Engineer
Designs and maintains pipelines to ingest premium bordereaux and other insurance data from external partners, ensuring accuracy and compliance with Azure-based data architecture.
SC Cleared Principal Data Engineer – Inside IR 35 – Hybrid
Designs and builds secure, scalable cloud data pipelines and platforms using Azure/AWS/GCP, Databricks, and Spark to power analytics and AI workloads.
Principal Software Engineer – Data Technology Platforms(Associate Data Architect II)
Principal Software Engineer builds and leads enterprise data platforms (Snowflake, Azure, DBT, Python) to power analytics, AI, and regulatory reporting for a global fintech-focused consultancy.
Data Architect (Cloud - AWS)
Designs and optimizes AWS-based data pipelines and models for large-scale cloud platforms, bridging data engineering and science using services like Redshift, DynamoDB, and Lambda.
Databricks Expert - Data Engineer/Data Architect
Design and implement cloud-native data pipelines on Databricks and Azure, integrating big-data tools to feed analytics and ML models for enterprise clients.
Senior Azure Data Engineer
Designs and builds cloud-native data pipelines on Azure, integrating Big Data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Azure Data Engineer
Designs and builds cloud-native data pipelines on Azure, integrating big data tools like Spark and Databricks to feed analytics and ML models for enterprise clients.
Senior Data Engineer (Azure, Databricks & MLOps)
Senior Data Engineer builds and optimizes scalable Azure-based data and ML pipelines using Databricks, PySpark, and MLOps tools to support analytics and AI deployments for fintech and public-sector clients.
Test Engineer
Build and maintain automated test frameworks for a .NET 9 and React/TypeScript stack migrating to Azure, using Playwright, xUnit/NUnit, and Azure DevOps CI/CD.
Cloud engineer
Designs, deploys, and secures scalable Microsoft Azure cloud infrastructure using IaC, CI/CD, and monitoring tools to support enterprise apps and data platforms.
Senior ai-driven bi & data engineer (hybrid/remote)
Design and build AI-driven data pipelines with Microsoft Fabric, Azure Data Factory, and Power BI to deliver insights and govern data security for global teams.
Senior data engineer
Build and optimize Microsoft-based data infrastructure for real-time financial analytics, fraud detection, and BI using Azure Data Platform, Microsoft Fabric, and SQL Server.
Data engineer
Designs and builds cloud-based ELT/ETL pipelines on AWS/Azure and Databricks to integrate financial, ERP, and operational data for a renewable-energy IPP, then delivers Power BI reports for executives and investors.
Principal Software Engineer
Principal Software Engineer at Microsoft to architect and build core platform capabilities for Microsoft Fabric, enabling developers to create and deploy AI-powered data applications with a modern SaaS experience.
Data Engineer (Azure)
Build and maintain Azure-based data pipelines and warehouses, ensuring reliability and efficiency for downstream analytics and modeling.
Experienced - Azure Data Engineer Synapse
Designs and builds end-to-end data pipelines on Azure Synapse and Data Factory, modeling relational/ dimensional data and ensuring quality, governance, and CI/CD for enterprise clients.
Data Architect with Azure and Databricks
Design and build scalable cloud data platforms using Azure, Databricks, and Microsoft Fabric, integrating governance, security, and cost controls while collaborating with engineers and analysts.