דרושים בתחום Big Data

* Be a key member of the development team.
* Design and develop Big Data solutions leveraging the Hadoop and Spark frameworks.
* Live in the world of a 24/7 Service, supplying a real-time security solution.
* Interact with security experts to develop security solutions tailored to their needs.
* Collaborate with the product team on a global basis to supply integrative solution.
* Keep up to date with advances in computer technology and how they affect the business environment.

* Bachelor’s degree in Computer Science.
* 2+ years of Java software development.
* Top notch developer, acquainted with the latest Java technologies.
* Quick learning skills and implementation capabilities.
* Be adaptable and able to pick up new technologies.
* Have good interpersonal and communication skills.
* Excellent English Writing and Verbal abilities.
* Experience developing in SaaS environments. - advantage.
* Experience developing in Spark/Scala - advantage.
* Experience working on UNIX/Linux systems -advantage.

The server development tasks include the business logic for a real-world solar energy management service for millions of active devices installed all over the globe. A good candidate will be comfortable in a fast-delivery environment, and equally capable of designing complex yet efficient solutions to meet end-user requirements.

B.sc in Computer science from a known university - Must!
0-3 years Java experience is a must
Familiarity with various network protocols
High Motivation
Team player
Experience with the following technologies is an important advantages:
Spring Framework
Docker, K8s
Relational DB
Micro-services architecture concepts
Kafka
Cassandra

As a Senior Software Engineer, you will take part in the architecture, design and implementation of our core product using latest technologies, working closely with the other development teams, product and delivery managers to create high quality deliverables.

5+ years of work related industry experience with Java, C#, Python,C/C++, scala
Experience building and deploying large scale, low-latency data processing systems
Experience with Big Data technologies: Hadoop, Apache Spark, Elasticsearch (ELK), Flink, Kafka and similar
Excellent understanding of performance, profiling and optimization
Solid knowledge of Computer Science fundamentals including data structures and algorithms
Experience in the Linux environment
Passionate about problem solving with excellent communication and team-work skills

Develop and deploy batch and real-time data processing infrastructures
Take part in all development stages – from design to deployment

A leading mobile discovery platform, helping millions of users experience apps at the right moments throughout the day. Our platform provides mobile publishers and app marketers with end-to-end technology solutions for premium monetization and app growth.
About the role:
We are looking for an experienced data scientist to lead machine learning efforts. The role combines hands-on research, development, and maintenance of the existing models.
• Leading ML domain in the company.
• Researching, selecting and tuning ML models and algorithms.
• Working with engineers to integrate models in production.
• Working with Product and Business Development teams to find solutions to business requirements.
• Over viewing performance and tuning of running models.

• 2+ years of experience in developing production grade machine learning models.
• Experience implementing full machine learning pipeline – data extraction, transformation, analysis, enrichment, learning, and inference.
• Experience with data science tools (Jupyter Notebook, Pandas, scikit-learn).
• Hands-on experience with big data frameworks (preferably Spark).
• Experience with Python and SQL.
• Strong interpersonal skills and ability to work as part of a team.
Advantages:
• Experience in the ad-tech industry.
• Experience in deep learning or neural networks.
• Experience in TensorFlow and TensorFlow Serving.
• Experience with large data sets

Requirements:
- M.Sc. or PhD. in Computer Science, Physics, Statistics or similar discipline.
- 3+ years hands-on experience of implementing predictive algorithms.
- Profound mathematical understanding of statistical modeling and machine/deep learning algorithms.
- Extensive experience in qualitative and quantitative data analysis and data visualization.
- Vast SW development experience in both offline and production environments.