Data Engineer
Skyhawk Security is a fast-growing innovative startup company, leading in the field of Cybersecurity in the Cloud.
Since we started our product, we have been backed up by strategic investment firm Tiger Global and other prominent cyber security investors.
We grow quickly, with our unique solution being used by vast and strategic customers around the world. This is only the beginning for us.
We aim high and we are looking to expand our teams with smart, self-motivated, and talented professionals. We connect to the entire multi-cloud environments and provide comprehensive protection for customers running workloads hosted on public cloud with multi-layer defenses which secure the cloud environment against identity and access abuse, protect against malicious user behavior, and secure the overall security posture.
Skyhawk Security is looking for a talented highly motivated team player to join one of its growing and inspiring teams as a hands-on Data Engineer. with demonstrated technical leadership, who will be accountable for the delivery of a big data solution as part of Skyhawk Synthesis product.
You will be part of a larger R&D group, working closely with the Data Scientist, developers, and product managers, and be responsible for the design and implementation of a highly scalable data pipeline as well as data analytics components.
What will you do?
Collaborate with a cross-functional team (Product Managers, DevOps Engineers, Software Engineers, Data Scientists and more)
Design software solutions and architecture for scale and reliability
Maintain high software engineering standards for scale and quality
Continuously work to improve the software engineering skills of your team, with a focus on quality, scalability, performance, and robustness
Be responsible for building a scalable data pipeline and data infrastructure, serving the behavioral analytics product to build the next generation of the Cloud security solution.
Shape and standardize our analytics approach, choose a technology stack, implement common components, and infra-serve Data Scientists.
What do you need to succeed?
Solid technical background in software engineering, architecture, and design
Ability to quickly learn new technologies and staying out of the comfort zone
Demonstrated success in building a strong and open culture
Excellent communication and collaboration skills.
Experience with a Cloud environment (AWS/Azure/GCP) – AWS is a must!
Experience working with data technologies, such as AirFlow ,Spark, Flink, Redshift, Athena, Iceberg\Parquet, Glue, Firehose, Kinesis.
Our Culture
As a company grows, it needs to have a guiding light so we can be better both as people and as employees. Our employees from various departments have sat down to discuss and agree on the values we wish to have and the values we wish to be.
Thinking without a Box – providing the most cutting-edge and fitting solutions pushes us to think even further than outside the box.
Passion for Excellence – we each cannot reach excellence without something internal within us, not without passion.
Guided by Purpose – to win and to achieve our goals, we must first set them correctly. We carefully choose what to do with the scalpel of purpose.
Driven by Care - caring is not only required to get the best work done but caring is also required to work with the best people. We care deeply about both.
Embracing Openness – we accept others and their perspectives as they are, without judgment and with openness. We first actively listen to what our surroundings have to say.
Working together to figure out what’s important to us is an example of the culture we wish to work in. Where everyone is a part of the process, and everyone can be heard.
