Cyberark Data Engineer 

Israel 

327963267

Here's what you'll be doing:

• Collaborate with analysts to translate business challenges into clear technical requirements and data-driven solutions.
• Develop and optimize scalable data pipelines using SQL, Python, and Pandas to integrate data from multiple sources.
• Design and implement data models and workflows that support complex business logic.
• Write clean, reusable, efficient, and scalable code while applying design patterns to ensure maintainability and performance.
• Ensure data integrity, quality, and security by maintaining high-performance governance standards.
• Utilize AI-driven solutions to enhance data processing and analytical capabilities.
• Work with IT, DevOps, and Security teams to enable secure and seamless data infrastructure deployment.
• Identify and act on opportunities to improve data processes, driving product and business success.

• Bachelor’s degree in engineering, Computer Science, or a related field.
• 5+ years of hands-on experience in SQL.
• 3+ years of hands-on Python/Pandas.
• 3+ years of experience developing data pipelines and implementing data modeling techniques and concepts such as Facts, Dimensions, Partitions, etc.
• Snowflake or dbt hands-on experience (a must-have).
• Strong problem-solving skills with the ability to work independently, document processes effectively, and communicate complex technical concepts clearly.
• Work in a global team with strong English proficiency.

Preferred Skills:

• Experience with: Snowflake, Rivery, AWS, salesforce. Databricks, Iceberg, and dbt.
• Work in an agile methodology.
• Experience developing in business domains such as Finance, sales, R&D, HR etc.
• Experience & knowledge in cybersecurity data domains is a plus.