Senior Data Engineer

Posted 5 Days Ago
Be an Early Applicant
Petah Tikva
Mid level
Security • Software
The Role
The Senior Data Engineer will develop Data Lakehouse processes, implement data ingestion and ETL processes, and collaborate closely with ML and data engineering teams. Responsibilities include defining data requirements to enhance security for CyberArk products by leveraging data modeling techniques and best practices.
Summary Generated by Built In

Company Description

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 Twitter, 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-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
  • 3+ 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

Top Skills

Java
Pyspark
Python
Scala
SQL
The Company
Hyderabad, Telangana
2,327 Employees
On-site Workplace

What We Do

CyberArk 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.

For over a decade CyberArk has led the market in securing enterprises against cyber attacks that take cover behind insider privileges and attack critical enterprise assets. Today, only CyberArk is delivering a new category of targeted security solutions that help leaders stop reacting to cyber threats and get ahead of them, preventing attack escalation before irreparable business harm is done. At a time when auditors and regulators are recognizing that privileged accounts are the fast track for cyber attacks and demanding stronger protection, CyberArk’s security solutions master high-stakes compliance and audit requirements while arming businesses to protect what matters most.

With offices and authorized partners worldwide, CyberArk is a vital security partner to more than 6,770 global businesses, including:

More than 50% of the Fortune 500
More than 35% of the Global 2000

CyberArk has offices in the U.S, Israel, U.K., Singapore, Australia, France, Germany, Italy, Japan, Netherlands and Turkey.

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