Software Integrations Developer

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GP Strategies Corporation

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1966

📚 Education

👥 HR Tech

🤝 B2B

Education • HR Tech • B2B

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.

📋 Description

• Design and implement end-to-end data pipelines (batch and streaming) using Azure Data Factory / Synapse Pipelines and Databricks • Develop scalable ETL/ELT workflows using PySpark, SQL, and Databricks notebooks • Build and optimize data ingestion frameworks for data from multiple enterprise and external sources • Lead the design and implementation of Databricks-based lakehouse architecture • Optimize Spark jobs for performance, scalability, and cost efficiency • Implement data versioning, incremental processing, and ensure high data quality • Utilize Azure services to build secure, scalable data solutions • Work closely with business stakeholders and technical teams to translate requirements

🎯 Requirements

• 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 in 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), SQL • Deep knowledge of ETL/ELT design patterns • Expert-level experience with Azure Data Factory / Synapse Pipelines and Azure Data Lake Storage • Hands-on experience designing integration and API solutions

🏖️ Benefits

• Professional development opportunities • Opportunity to lead and shape the organization's modern data platform strategy • Meaningful ownership and technical stretch