GoGrow
11 - 50 employees
☁️ SaaS
Software Development • SaaS • Technology
GoGrow is a dynamic software development company that emphasizes growth and skill enhancement within its team. It provides a community-oriented environment where individuals are encouraged to innovate and push boundaries in technology. The company offers a variety of remote and hybrid job opportunities, such as software development roles, allowing for flexibility and a balanced work-life setting. With competitive salary packages in USD and a strong support network, GoGrow attracts passionate tech professionals to join their team of 'tech wizards'.
Data Engineer
Job not on LinkedIn
🕒 March 20
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GoGrow
11 - 50 employees
☁️ SaaS
Software Development • SaaS • Technology
GoGrow is a dynamic software development company that emphasizes growth and skill enhancement within its team. It provides a community-oriented environment where individuals are encouraged to innovate and push boundaries in technology. The company offers a variety of remote and hybrid job opportunities, such as software development roles, allowing for flexibility and a balanced work-life setting. With competitive salary packages in USD and a strong support network, GoGrow attracts passionate tech professionals to join their team of 'tech wizards'.
📋 Description
• Build and maintain data pipelines and infrastructure that power data-driven decisions across the firm. • Work within the Data Science team, collaborating with analysts, scientists, and stakeholders to ensure high-quality, accessible data. • Design, build, and optimize ETL pipelines using Microsoft Fabric and Medallion Architecture. • Identify and integrate new data sources; assemble complex datasets aligned to business needs. • Improve infrastructure scalability, data delivery, and process automation. • Monitor data quality, troubleshoot issues, and enforce governance and security standards. • Support business intelligence tools and data models; collaborate with Executive Leadership, App Dev, Marketing, and Finance. • Maintain documentation; participate in monthly on-call rotation.
🎯 Requirements
• Bachelor's in Computer Science, Data Engineering, IT, or equivalent • 3–5 years in data engineering • Strong T-SQL; hands-on experience with Microsoft Fabric, Power BI, and data warehouse concepts • Python/PySpark experience • Ability to manage multiple projects and analyze large datasets • Nice to Have: Microsoft Fabric certification, R/PowerShell, NoSQL/APIs, ML/data mining experience
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