Senior Data Engineer
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Job Description
Who is Cyclops Security
The Cyclops Platform is the first and only Continuous AI Cyber Security Risk Management Platform based in Tel Aviv Israel.Our mission is to maximize the potential of the Organizations security stack with the power of AI. We gather and analyze complex security and nonsecurity data to provide clear actionable insights that help businesses prioritize and address their most critical risks.
Your Opportunity
We are seeking a talented Senior Security Researcher to join Cyclops Security and play a leading role in advancing our threat research and driving security innovation. This position is ideal for someone with a growth mindset a solutionsfocused approach and a commitment to technical excellence.
As a senior researcher you ll work alongside Product and R&D teams reporting to the CTO and transforming our expertise in security into valuable features for our customers.
Were looking for a creative analytical professional with a knack for understanding complex systems and a passion for uncovering the intricacies of how things work. If you thrive on curiosity innovation and the challenge of dissecting problems to their core you could be a great fit for our team.
Your Role
- Design develop and maintain scalable data pipelines and architectures for ingesting and processing data.
- Collaborate with data scientists and data analysts to support datadriven decisionmaking and develop data products.
- Optimize and improve data flow and collection processes to ensure high data quality and performance.
- Implement and monitor data processes to ensure data integrity and availability.
- Work with crossfunctional teams to identify and implement new data solutions that meet the organizations evolving needs.
- Stay updated on emerging technologies and industry trends to enhance our data engineering practices.
- Lead the design and development of core data models to support scalability and business objectives.
Requirements :
What experience or knowledge should you bring
- 5 years of experience in data engineering data architecture or a related field.
- Extensive experience with data warehousing solutions and ETL tools.
- Strong understanding of database technologies (SQL and NoSQL).
- Strong knowledge of data modeling principles
- Extensive Experience with Data Transformation Tools (e.g. DBT AWS Glue).
- Experience with cloud platforms (e.g. AWS Azure GCP) and their data services.
- Experience with Workflow Orchestration Tools (e.g. Airflow).
- Experience with big data technologies (e.g. Apache Spark).
It will be great if you also have the following:
- Experience with Snowflake
- Experience with AI concepts and data preparation for model training.
- Knowledge of data governance and security best practices.
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Full-time
