DeepInstinct
  • 13 active jobs (view)

  • Published: December 28, 2021
Category
Job Type
Level of education
Undergraduate
Level of Hebrew
Medium
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
2 years

Description

Deep Instinct is looking for a Data Engineer to join our Research Platforms team.

As a Data Engineer, you will be part of a cross-functional team and responsible for building and designing Data and ML ecosystem using cutting-edge technologies.

Responsibilities:

- ´╗┐Be a significant part of our data engineering / operation -
- help our cyber detection engine, support our model training pipeline
- Build and develop high-performance, near real-time ETL processes incorporating Airflow, Aws Services, Kubernetes, Databrics, Spark
- Develop tools and libraries that will help Research team members more efficiently interface with large amounts of data
- Drive the collection of new data and the refinement of existing data sources
- Develop, implement, and maintain change control and testing processes
- Designing and building different monitoring tools

Requirements

- Minimum 2 years of programming experience with Python, Scala
- Experience and expert knowledge of cloud environments such as AWS,GCP, Kubernetes
- Experience with distributed run-time systems, their performance optimization and improving their resilience
- Strong design and coding skills.
- BSc in Computer Science, Mathematics, or any related degree

Ideally, you also have these skills (but it's ok if you don't!):

- Experience with orchestration tools such as AirFlow
- Proven working experience with SQL and NoSQL databases.
- Building and delivering working software through an iterative, agile process.
- Experience working in a collaborative CI/CD software development environment, including git, peer code review, easily maintained, scalable, and documented code.

Additional skills, personal traits, and experience preferred:

- Team player
- Proactiveness in collaboration and execution
- Flexibility to switch technical context
- Willingness to learn new methods / tools / processes
- Strong passion for creativity and solving cutting edge industry problems

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