Data Engineer

4 Months ago • 3-5 Years

Data Analysis

Job Description

CyberArk is seeking an experienced and highly motivated Data Engineer to join their AI, Data & Research unit. The role involves spearheading the development of Data Lakehouse processes and modeling for CyberArk products, defining and popularizing best practices in the data field. The Data Engineer will collaborate with ML, Data engineers and architects, as well as R&D software engineering teams. They will also identify opportunities and help specify data requirements to improve security for CyberArk products and customers along with product managers and data scientists.

Good To Have:

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

Must Have:

3+ years of data modeling techniques and concepts.
3+ years of experience in designing and implementing data ingestion, ETL processes.
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)

Add these skills to join the top 1% applicants for this job

team-player

aws

hadoop

data-science

scikit-learn

pytorch

python

sql

scala

tensorflow

java

About CyberArk:
CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook.

Job Description

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

Qualifications

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

Additional Information

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

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