We are looking for a Senior Data Engineer.
As a Senior Data Engineer, you will play a pivotal role in our Data Engineering team, driving a multitude of responsibilities essential to fueling our groundbreaking R&D endeavors. Youll have the autonomy to explore and implement cutting-edge technologies and data solutions, collaborating with diverse team of data scientists, developers, analysts, and stakeholders. Every day will present new learning opportunities and challenges as we strive together to reshape the future of work.
Responsibilities:
Design, develop, and maintain scalable data pipelines and infrastructure to support the collection, processing, and analysis of large volumes of data.
Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and develop solutions that meet business needs.
Implement best practices for data governance, security, and quality assurance to ensure the integrity and reliability of our data assets.
Optimize and tune existing data pipelines and processes for improved performance and efficiency.
Stay up to date with current best practices in the big data field.
Mentor and coach other members of the data engineering team, providing guidance and support to help them grow their skills and expertise.

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.

Our Research team is growing, and we are looking for a Senior Data Engineer to join the team.
Not Your Typical Senior Data Engineer Role
You're a crucial pivot in our R&D unit, ensuring our data flows seamlessly, is stored efficiently, and can be accessed and interpreted for justice at scale. You will be responsible for designing our data architecture, implementing and maintaining data pipelines from various sources, and building our databases.
There is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.
Responsibilities:
You will devise scalable solutions to enhance the capabilities of our legal data team to analyze factual information and extract legal implications from it.
Design data analytics modeling solutions with the data science and ML engineers
Collaborate with peer engineering teams (backend & frontend developers and architects) as well as data scientists, product managers, and data analysts to understand business priorities and translate these requirements into data models.
Work with DevOps and engineers to design and implement our infrastructure.

Lead the design, implementation, and ongoing management of our company's data pipeline architecture.
Lead team architectural discussions
Manage a team of 2-3 data engineers
Work as an integral part of the data team and work closely with data Scientists, data Analysts and data Engineers.
Work directly with others (Developers, Product, and Internal stakeholders) to develop a solid understanding of the business application and requirements for which the application is being designed.

We're looking for a DataOps Engineer to join the DataOPs team of the Grow division.
The team is in charge of the operational stability, performance and cost of data infrastructures that serve either users (within or outside the company) and applications (to transfer data between applications). The main technologies we're working with are Druid, Spark Structured Streaming, Iceberg, Trino, Airflow and Aurora RDS.
As a team we put a lot of focus on reducing the cost and improving the performance of our data services hosted on the cloud.
We work on both AWS and GCP clouds, and our most important data infrastructures run on k8s, either on AWS EKS or on GCP GKE.
The role requires to make these data infrastructures as stable, cheap and performant as possible.
The short term success is be able to maintain all the above services as an on-call.
The long-term success is to participate in the development of the Druid and Streaming services and improve their stability, cost and performance.
The impact on the team will be to increase the impact of the team on the data infrastructures within Grow.
We're a team that moves fast, handles interesting technologies, and always strive to improve the stability, cost and performance of our infrastructures that manage traffic at a very high scale. The roles suits a devops, sre or dataops that want to be part of an excellent DataOps team that manages data transfers at high traffic of Millions/sec with minimum production issues while always focusing on cost and performance. And in addition, the team members are cool, professional people who love what they do.
What you'll be doing:
Improve stability of Druid, Streaming, Iceberg, Trino, Mysql infrastructures
Participate in the on-call rotation of these infra
Focus on monitoring, cost reduction and performance improvements
Develop scripts in python
Work in collaboration with customers of our infra.

We are looking for a Principal Backend Engineer to join our Cortex XDR team and help us to prevent, detect and respond to all runs on an integrated endpoint, network and cloud data reduce the noise and focus on real threats.

More information about the Cortex XDR product can be found here.

Your Impact

You will be a part of a group with the mentality and independence of a startup, supported by the power of a successful corporation - You will design and build an infrastructure that supports billions of events per second, storing, processing and making them accessible and visible to the user while collaborating with the industrys leading cyber products
You will be responsible for the complete software development life cycle including requirement analysis, design, development, deployment, and support - You will write clean, testable, readable, fast and maintainable code that is efficient and scalable

We are looking for excellent Customer Oriented and analytical people who are eager to work in a dynamic environment, have very good personal engagement skills, will never take no for an answer, are good at gathering and processing data and have the ability to improve and help grow our business globally.
If you are up to the challenge, this is the job for you.
Responsibilities:
Responsibility for activities related to the onboarding of international entities to our platform.
Independent management and execution of core customer related processes involving multiple tools, automation and control.
Integrating and cross-referencing data from multiple systems and sources. Conducting online research.
Working independently with other groups in the company as well as external entities, including global customers and suppliers.
Contribute to ongoing process improvement, leveraging international data sources and technological solutions.

We are looking for a Senior Data Engineer.
Responsibilities:
Work closely with business and research teams to deliver high quality results to customers and partners.
Design and Implement complex end-to-end data pipelines including data extraction, feature engineering, data quality, and data serving.
Work with Large Language Models to deliver high scale, high quality features for customers.
Take ownership of a true research project from POC to production.
Contribute to a wide variety of projects using a range of technologies and tools.
If you are someone who thrives in a fast-paced environment where being self-directed, creative, and determined are a requirement, we would love for you to join us.

You will be part of a strong security research and data science team who solve highly complex security challenges using disruptive technologies, ML algorithms and a lot of data.

As part of that, you will take part in the design and development of new groundbreaking AI security solutions which make a direct impact on many customers.

Your Impact

Take part in development of new security capabilities/features to help protect customers using state-of-the-art machine learning algorithms
Lead and perform groundbreaking cyber security research while working side by side with top-notch data scientists, engineering and PM teams
Break apart cyber security problems in a scientific way, provide support, reviews and consultant to both technical and non-technical partners

Design, build, and launch data infrastructures that support multiple use cases across different products or domains.
Collaborate with engineers, product managers, data scientists, and other stakeholders to understand data needs.
Solve challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Lead end-to-end data projects from infrastructure design to production monitoring and visualization.