
1001 - 5000 employees
Founded 1966
💼 Consulting
📚 Education
👥 HR Tech
Consulting • Education • HR Tech
GP Strategies Corporation is a global talent transformation and learning services company that helps organizations improve workforce performance through integrated consulting, managed learning services, content design and development, training delivery, and learning technology. The firm combines human expertise with AI-driven tools to deliver custom upskilling, leadership development, technical training, and enterprise technology adoption programs for large organizations across industries. GP Strategies provides consulting on organizational learning, AI readiness and implementation, and operates learning platforms and services to support long-term workforce capability and performance.
🔥 6 minutes ago
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1001 - 5000 employees
Founded 1966
💼 Consulting
📚 Education
👥 HR Tech
Consulting • Education • HR Tech
GP Strategies Corporation is a global talent transformation and learning services company that helps organizations improve workforce performance through integrated consulting, managed learning services, content design and development, training delivery, and learning technology. The firm combines human expertise with AI-driven tools to deliver custom upskilling, leadership development, technical training, and enterprise technology adoption programs for large organizations across industries. GP Strategies provides consulting on organizational learning, AI readiness and implementation, and operates learning platforms and services to support long-term workforce capability and performance.
• Design and implement end-to-end batch and streaming data pipelines using Azure Data Factory / Synapse Pipelines and Databricks • Develop scalable ETL/ELT workflows using PySpark, SQL, and Databricks notebooks • Build and optimize ingestion frameworks for structured and unstructured data • Lead Databricks-based lakehouse architecture using Delta Lake and bronze, silver, and gold data layers • Optimize Spark jobs through partitioning, caching, and cluster tuning • Implement data versioning and incremental processing while maintaining data quality, consistency, and governance • Build secure, scalable solutions using Azure Data Factory, Data Lake Storage, Synapse Analytics, and Key Vault • Design, build, and maintain integrations using Azure Functions, Logic Apps, Service Bus, and Event Grid • Connect business applications, SaaS platforms, and external services with the data platform • Develop and expose secure, documented REST APIs and event-driven endpoints through Azure API Management • Implement publishing, versioning, throttling, and authentication for APIs • Implement event-driven and near-real-time messaging patterns using Event Hub, Event Grid, and Service Bus • Monitor and optimize data workflows for reliability, performance, and cost efficiency • Manage code repositories, CI/CD pipelines, and deployments using Azure DevOps • Maintain technical documentation and follow governance best practices • Collaborate with business stakeholders and technical teams to translate requirements into scalable data solutions • Provide technical leadership • Deliver reliable Azure integration architectures targeting 99.9% uptime, optimized throughput, minimal technical debt, clear documentation, security governance, and seamless data flow
• 5+ years of experience in Data Engineering / Data Platform development • 3+ years of hands-on experience with Azure Databricks • Strong experience with Azure Data Factory, ADLS Gen2, and Synapse Analytics • Proven experience building enterprise-scale data pipelines • Hands-on experience building application and API integrations using Azure Functions, Logic Apps, and Azure API Management • Experience working in Agile/Scrum environments and full SDLC lifecycle • Strong proficiency in Python (PySpark) and SQL • Experience with Databricks notebooks for scalable data processing and transformation logic • Deep knowledge of ETL/ELT design patterns, Slowly Changing Dimensions (SCD), medallion architecture, and data modelling for analytics • Expert-level experience with Azure Data Factory / Synapse Pipelines, Azure Data Lake Storage, and Azure Databricks including Delta Lake • Hands-on experience with Azure Functions, Logic Apps, Service Bus / Event Grid, and Azure API Management • Experience designing REST APIs and implementing secure authentication using OAuth 2.0 / managed identities • Advanced hands-on experience with Spark optimization, cluster management, job orchestration, and performance tuning in Databricks • Experience with streaming technologies, Microsoft Fabric, CI/CD for data platforms, or Power BI is a significant advantage • Design-first and quality-focused mindset • Comfortable working in ambiguity and evolving requirements • Strong communicator able to explain technical concepts to non-technical audiences • Proactive, collaborative, and continuous improvement oriented • Strong sense of urgency and ownership
• Opportunity to lead and shape the organization's modern data platform strategy • High-impact data initiatives enabling analytics, AI, and digital transformation programs • Strong executive visibility • Meaningful ownership and technical stretch • Long-term growth opportunity • Opportunity to define best practices under the OneGP model • Opportunity to work with modern Microsoft technologies, including Power Platform, Azure integrations, and emerging AI and Copilot capabilities
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