Data Engineer

What you will do:

CyberArk is looking for an experienced and highly motivated Data Engineer with high professional skills to join our AI, Data & Research unit. Spearhead the development of Data Lakehouse processes and modeling CyberArk products; Define and popularize best practices in the data field.

Work closely with ML, Data engineers and architects from the AI, Data & Research unit as well as R&D software engineering teams.
identify opportunities and help specify data requirements to improve security for CyberArk products and customers along with product managers and data scientists.

#LI-Hybrid

#LI-OS1

What you need to succeed:

• 3+ years of data modeling techniques and concepts - such as Facts, Dimension, Partitions, etc.
• 3+ years of experience in designing and implementing data ingestion, ETL processes and 3rd party tools, preferably with experience in Data Lakehouse and Data Warehouse architecture
• 5+ years of hands-on experience in SQL and Python / Pyspark (or Java / Scala)
• Data landscape understanding from vendor-specific to open-source (e.g. Snowflake/Redshift, DataBricks, Iceberg, Hadoop, DBT)
• A versatile, proactive, team player, can-do attitude, quick learner, and a great executor

How you will stand out from the crowd: 

• Data Warehouse technologies (especially Iceberg or Snowflake)
• AWS ecosystem (Glue, Athena, Kinesis, Redshift, SageMaker, EMR) – an advantage
• Experience with Data Science (Scikit-learn / TensorFlow / PyTorch, etc.) – an advantage
• Background in cyber security – an advantage
• Managerial experience in the data engineering field – an advantage