Description
Silverfort is a cyber-security startup that develops a revolutionary identity protection platform. Using patented technology, our product enables strong authentication across entire corporate networks and cloud environments, without any modifications to endpoints and servers. In addition, we use advanced behavior analytics to apply adaptive authentication policies and prevent cyber-attacks in real time.
Our mission is to provide industry-leading unified identity protection solutions for hybrid and multi-cloud environments. We develop cutting-edge cybersecurity technology that solves urgent customer needs today and is also a game changer for years to come.
Silverfort’s team includes exceptional researchers, engineers, and technology experts who successfully tackle some of the most complex challenges in cyber-security. Silverfort has happy customers worldwide, strong market validation (including several industry awards), strategic partnerships with the largest security vendors in the world, and significant funding from leading VCs.
In this role, you’ll also build new data models tailored to various departments and evolving business needs, acting as a key data focal point for multiple functions across the organization. If you have a strong background in data engineering and a passion for delivering end-to-end BI solutions that enable data-driven decision-making, we’d love to connect with you.
Responsibilities
- Architect, implement, and optimize data warehouses and data sources to support business analytics and reporting needs
- Design and develop data models with efficient data extracts, coming from multiple sources
- Develop complex ETL and SQL queries
- Design, build and maintain reports and dashboards to monitor company business performance and KPIs
- Transform business requirements into BI solutions by collaborating with business focal, analysts and management
- Build end-to-end data flows and data enrichment processes
- Become a focal point for all data-related matters in the organization
- Monitor and tune BI systems for optimal performance and scalability
- Support and train end-users to maximize the effectiveness of BI solutions
Requirements
- Education: B.Sc. degree in Information Systems Engineering, Industrial Engineering, Software Engineering, or Computer Science
- 5+ years of experience as a Data/BI Engineer
- Strong knowledge of DWH methodologies and best practices
- Expert-level proficiency in SQL and relational databases; proven ability to write complex, optimized SQL queries
- Experience with ETL/ELT cloud-based solutions (Rivery,dbt)
- Hands-on experience with Snowflake or other analytical databases
- Fluent in English, with excellent communication skills
- Ability to handle development tasks from business needs to final product
- Strong analytical skills, quick learner with a “make it happen” attitude
- Ability to multitask and prioritize in high-pressure environments
- Independent and self-motivated
- Hands-on experience with Tableau- Advantage
- Experience working in cloud environments - Advantage
- Hands-on experience with Python or other programming languages - Advantage
- Experience with production systems - Advantage
- Experience with Tableau server environment administration - Advantage
Top Skills
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