3 days ago
Responsibilities
- Design, implement, and support enterprise cloud data platforms.
- Develop and maintain scalable, resilient, and secure distributed data solutions for enterprise reporting, finance, revenue operations, sales analytics, and strategic decision-making.
- Build workflow orchestration frameworks using Apache Airflow and Python.
- Automate data ingestion from enterprise systems including Salesforce and NetSuite through REST APIs and incremental load strategies.
- Implement enterprise data warehouse solutions on Snowflake or an equivalent cloud data warehouse platform.
- Develop semantic data models and curated data layers to support business intelligence and analytics.
- Provide technical guidance and mentorship to BI and data engineering teams.
- Collaborate across all stages of the software development lifecycle.
Requirements
- Bachelor’s degree in Electrical Engineering, Computer Science, or a related IT field, or a foreign equivalent.
- At least 3 years of progressive post-baccalaureate experience in Data Engineering, Data Analytics, Business Intelligence, or related roles.
- At least 3 years of experience building and maintaining distributed data processing systems.
- At least 3 years of experience developing semantic data models and curated data layers for BI platforms such as Power BI, Tableau, Qlik, or similar tools.
- At least 3 years of experience supporting large-scale data integration, data processing, analytics, and BI reporting.
- At least 3 years of experience contributing to enterprise data modernization initiatives.
- At least 3 years of experience collaborating across the software development lifecycle using Agile methodologies.
- At least 3 years of experience providing technical guidance and mentorship to BI and data engineering teams.
- At least 3 years of experience with Snowflake, REST APIs, Apache Airflow, and Python.
Tech Stack
Categories
Data Engineering
About Kaseya
Kaseya builds IT management and cybersecurity software for managed service providers and internal IT teams, delivered as a unified, subscription-based platform covering RMM, PSA, backup, endpoint protection, and SOC services. Founded in 2000 and headquartered in Miami, it is privately held and backed by Insight Partners. The company expanded its portfolio with acquisitions including Datto, and is used by MSPs and SMBs to automate and secure infrastructure.