Data Engineer (Analytics)

Established in 2022, Guardz rapidly emerged as a noteworthy player in the cybersecurity sphere, securing $35M in funding and rallying a dedicated team of 80 industry professionals. Our vision is to foster a safer digital landscape for small and medium businesses across the globe. To this end, we introduced our comprehensive all-in-one Secure & Insure platform, and continue to grow and expand our team, our partnerships and our revenue.

As a Data Engineer in the Data and Analytics team, you will work on creating and optimizing our data warehouse to meet the complex and evolving needs of our organization. You will collaborate closely with stakeholders from various departments to understand their requirements and deliver high-quality data solutions that enable efficient decision-making and operational processes. Your ability to understand intricate business logic and translate it into efficient, scalable data models will be essential. You will partner with cross-functional teams, including product, sales, marketing, and executives, to ensure our data infrastructure supports the company's growth.

Responsibilities:

• Design, build, and optimize our data warehouse and the entire data pipeline including the data ingestion, orchestration and internal data tools to ensure it serves the needs of the entire organization.
• Implement complex business logic in the DWH using tools like DBT to transform raw data into meaningful insights.
• Collaborate with data leaders, data analysts, engineers, and business stakeholders to understand their data needs and translate them into technical requirements.
• Optimize data pipelines for both operational and business intelligence use cases.
• Ensure data quality, integrity, and governance across all systems and processes.
• Support ad hoc requests from stakeholders, including sales, marketing, product, and finance teams.
• Building operational data systems (e.g., CRM data integration) with alignment to business logic.
  
  

• 3+ years of experience in data engineering, BI development, BI analysis or a similar role, with a focus on building and managing data warehouses.
• Strong understanding of business metrics, and the ability to translate business data into actionable insights
• Experience with cloud services for data streaming, storing and warehousing
• Strong understanding of ETL/ELT processes, data modeling, and data architecture.
• Experience with end-to-end data pipelines designing, orchestrating, and building using cloud-based modern data stack / tools (with a focus on - Airflow, Rivery, Fivetran and similar tools).
• Experience with one of the following: Snowflake, Bigquery, Databricks.
• Strong SQL skills.
• Coding experience in one or more of the following programming languages: Python, Java, Scala.
• Experience leveraging DBT for dimensional data modeling and data warehouse implementation - an advantage.
• Proven ability to understand complex business logic and translate it into efficient data models.
• Strong problem-solving skills and a proactive approach to finding innovative solutions.
• Excellent communication and collaboration skills to work with cross-functional teams and business leaders.
• Ability to balance speed and quality, delivering efficient solutions in a dynamic environment.