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Designs and leads enterprise-scale data platforms using Azure Databricks and Microsoft Fabric to support analytics, reporting, AI, and ML for a federal government client.
Develops and maintains REST APIs, front-end applications (React/TypeScript/Next.js), and AI-driven systems (LLMops, LangChain) while integrating cloud platforms like Azure and ensuring system reliability through testing and troubleshooting.
Senior API Software Developer onsite in Toronto for the Ontario Ministry of Public and Business Service Delivery, designing and building scalable REST API platforms and AI-enabled applications using React, TypeScript, Node.js, Next.js, Azure, Python, and Agentic AI/LLMOps technologies.
Build and deploy autonomous AI agents that handle data engineering tasks (ingestion, transformation, validation, remediation) on AWS, using LLMs, agentic frameworks, and RAG systems with minimal human intervention.
Designs and implements cloud-based data solutions on Azure, optimizing queries and ensuring security and identity management.
Senior/Lead Data Engineer designing and implementing data pipelines with PySpark on Databricks and Spark SQL, optimizing performance and managing Delta tables for AI-driven solutions on Azure Cloud.
Builds and maintains scalable data pipelines and platforms using Microsoft Fabric and Azure tools to process, transform, and store data for enterprise clients.
Senior Data Engineer designs and maintains data pipelines using Microsoft Fabric and Azure, focusing on PySpark, SQL, and data-source integrations with high security and auditability standards.
Senior/Lead Data Engineer at Exadel building and optimizing Spark/PySpark applications on Databricks for a Big Four accounting firm client, with a focus on data processing, performance tuning, and best practices.
Data Engineer building and maintaining data pipelines, PySpark notebooks, and CI/CD automation in Microsoft Fabric and Azure on a hybrid B2B contract in Warsaw.
Builds and maintains a scalable, observable data platform on Microsoft Fabric, integrating AI use-cases into financial workflows. Focuses on pipelines, data governance, and coupling datawarehouse with internal applications.
Leads data transformation and migration for NSW Fair Trading’s digital modernization, ensuring accurate, compliant data for regulatory and customer-facing systems. Core focus: ETL, SQL, AWS, and Salesforce integrations.
Inclusion without Exception Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual…
Builds and maintains Python-based market data pipelines for end-of-day capital markets feeds, using PySpark, Django, and Big Data tools to process risk and PnL calculations.
Builds and maintains scalable data pipelines, dimensional models, and graph-based solutions (Neo4j/Cypher) to integrate, transform, and analyze financial transactional/operational data for business decision-making.
Builds and leads fraud detection systems to protect Audible’s global marketplace from abuse, piracy, and fraud via rule engines, ML models, and real-time data pipelines.
Lead a small global data engineering and analytics team at a health-tech company while hands-on building batch and event-driven pipelines, dashboards, and data platforms using AWS (Redshift, Glue, Lambda, S3), dbt, Airflow, PySpark, and BI tools like Sigma/Looker.
Azure Data Engineer designing, implementing, and optimizing scalable data solutions on Microsoft Azure and Microsoft Fabric for a product company serving the aeronautical sector, covering data pipelines, storage, governance, and BI.
Data Engineer working on ETL/ELT pipelines, distributed data architectures and data stack modernization using SQL, Python, PySpark, Microsoft Fabric, Databricks and Azure Data Services.
Data Engineer designing high-performance data pipelines with Azure Databricks, PySpark, and Delta Lake for large-scale financial data integration, transformation, and modeling within an international Agile team.
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