ScalePad
SaaS • Compliance • Security
ScalePad is a company that provides a comprehensive platform for Managed Service Providers (MSPs) to enhance client engagement and operational efficiency. With products like Lifecycle Manager, Backup Radar, and Cognition360, ScalePad offers solutions that streamline compliance, backup monitoring, and client communications. Their platform integrates seamlessly with third-party tools to offer a cohesive ecosystem that empowers MSPs to deliver superior client experiences and strategic insights. ScalePad is committed to innovation and excellence, helping MSPs transform and scale their offerings with automation and data-driven insights.
201 - 500 employees
☁️ SaaS
📋 Compliance
🔐 Security
💰 Private Equity Round on 2021-07
Senior Data Engineer
Job not on LinkedIn
November 1
ScalePad
SaaS • Compliance • Security
ScalePad is a company that provides a comprehensive platform for Managed Service Providers (MSPs) to enhance client engagement and operational efficiency. With products like Lifecycle Manager, Backup Radar, and Cognition360, ScalePad offers solutions that streamline compliance, backup monitoring, and client communications. Their platform integrates seamlessly with third-party tools to offer a cohesive ecosystem that empowers MSPs to deliver superior client experiences and strategic insights. ScalePad is committed to innovation and excellence, helping MSPs transform and scale their offerings with automation and data-driven insights.
201 - 500 employees
☁️ SaaS
📋 Compliance
🔐 Security
💰 Private Equity Round on 2021-07
📋 Description
• Drive the evolution of business intelligence, data management, and operational solutions • Collaborate closely with Data Scientists, Business Analysts, and Software Engineers • Create exceptional solutions in a collaborative work environment • Develop innovative approaches to ensure scalability • Work on data lake and data warehouse solutions
🎯 Requirements
• 5-7+ years of hands-on Data Engineer experience • Proficiency in Python, R, C#, or equivalent programming languages • Strong knowledge of SQL and NoSQL solutions • Familiarity with Agile development methodologies • Experience in conceptual, business, and analytical data modeling • Proficiency in Databricks, PySpark, and DBT • Experience with data ingestion tools like Fivetran, Airbyte, and Airflow • Deep understanding of data pipelines, including ETL processes
🏖️ Benefits
• Employee Stock Option Plan (ESOP) • Annual budget for professional development • Hybrid work flexibility • Fitness facility in the office • 100% employer-paid medical and dental coverage • RRSP matching after one year of employment • Monthly stipend for hybrid work costs • Unlimited flex-time policy with accrued vacation
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