CSpring
51 - 200 employees
🤝 B2B
💼 Consulting
☁️ SaaS
B2B • Consulting • SaaS
CSpring is a consulting firm that specializes in unlocking the power and potential of data to achieve technology-enabled business goals. Founded in 1996, the company focuses on data-driven solutions that align with clients' business objectives, offering services such as data architecture, management, analytics, and reporting. With a team of full-time consultants, CSpring collaborates with both public and private sector clients to develop technology strategies, architect data solutions, build software, and create visualizations tailored to meet unique client needs. CSpring is also recognized as a certified Woman-owned Business Enterprise (WBE) and has been named a Best Place to Work in Indiana.
Enterprise Data Warehouse ETL/Data Engineer
Job not on LinkedIn
🕒 June 2
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CSpring
51 - 200 employees
🤝 B2B
💼 Consulting
☁️ SaaS
B2B • Consulting • SaaS
CSpring is a consulting firm that specializes in unlocking the power and potential of data to achieve technology-enabled business goals. Founded in 1996, the company focuses on data-driven solutions that align with clients' business objectives, offering services such as data architecture, management, analytics, and reporting. With a team of full-time consultants, CSpring collaborates with both public and private sector clients to develop technology strategies, architect data solutions, build software, and create visualizations tailored to meet unique client needs. CSpring is also recognized as a certified Woman-owned Business Enterprise (WBE) and has been named a Best Place to Work in Indiana.
📋 Description
• Design and develop reusable, parameter-driven ingestion and transformation pipelines • Build and maintain medallion architecture solutions • Develop performant ELT workflows • Create and optimize PySpark notebooks and distributed processing jobs • Design dimensional data models • Implement data vault patterns • Optimize distributed SQL workloads • Implement CI/CD processes • Build monitoring, logging, and auditing solutions • Lead or contribute to cloud modernization initiatives
🎯 Requirements
• Deep hands-on expertise with Azure Data Factory • Strong experience with Azure Databricks and PySpark • Production experience with Azure Synapse Analytics • Strong understanding of Azure Data Lake Storage Gen2 • Experience with Azure Key Vault and Azure AD / Entra ID • Experience monitoring and troubleshooting data solutions • Advanced SQL skills • Strong Python skills • Proficiency with T-SQL and familiarity with Spark SQL
🏖️ Benefits
• Health insurance • Professional development opportunities
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