InOrg Global
Enterprise • SaaS • B2B
InOrg Global is a company specializing in managed services and innovative business strategies. They focus on providing AI/ML services, strategic operations, and workspace management to enhance productivity and efficiency. InOrg offers a unique Build-Operate-Transfer (BOT) model, guiding businesses through design, development, operation, and seamless transition of control to ensure sustained success. The company is dedicated to empowering digital disruptors and optimizing business processes with expertise in global capability centers, helping clients expand their global reach and achieve operational excellence.
Developer
Job not on LinkedIn
September 21
InOrg Global
Enterprise • SaaS • B2B
InOrg Global is a company specializing in managed services and innovative business strategies. They focus on providing AI/ML services, strategic operations, and workspace management to enhance productivity and efficiency. InOrg offers a unique Build-Operate-Transfer (BOT) model, guiding businesses through design, development, operation, and seamless transition of control to ensure sustained success. The company is dedicated to empowering digital disruptors and optimizing business processes with expertise in global capability centers, helping clients expand their global reach and achieve operational excellence.
📋 Description
• Build data pipelines, models, and architectures to power analytics and business intelligence within the Sigma Computing ecosystem • Transform raw data into actionable insights by designing scalable data solutions • Leverage cloud platforms like Snowflake and Databricks for data engineering tasks • Ensure data quality and reliability across ELT/ETL processes • Collaborate with analytics and BI teams to support reporting and decision-making
🎯 Requirements
• Proficiency in SQL • Proficiency in Python • Experience with dbt • Experience with Snowflake • Experience with Databricks • Strong understanding of data warehousing and ELT/ETL processes • Data engineering background (building data pipelines, models, and architectures) • Experience ensuring data quality and designing scalable data solutions • Familiarity with Sigma Computing ecosystem and analytics/BI workflows
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