לוח משרות דרושים איש ביג דאטה Big Data

We are looking for a Data Engineer.
Main responsibilities:
Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built.
Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance.
Monitor and optimize our (teams) cloud costs.
Design and construct monitoring tools to ensure the efficiency and reliability of data processes.

we are looking for a Performance Solution Architect to work with our globally distributed engineering team on internet-scale data lake analytics platform. This is our flagship product and offers incredible value-add on the already stellar performance of the open-source Trino software. This role provides you with the opportunity to directly contribute to the enhancement of performance. The role entails conducting performance analysis and comparing existing in-market solutions, formulating a comprehensive strategy for performance testing, analyzing the results, and offering appropriate recommendations for enhancing.

As a Data Performance Engineer
Be an expert in architecture and performance approaches
Partner closely with sales engineers, solutions, support, and engineering teams to deliver guidance on performance issues at any phase in the product life cycle.
Maintain a profound understanding of current market solutions and devise instrumentation and approaches for comparing them with the solution, paving the way for future enhancements to .
Collaborate with Product Management and Solution architects to continuously improve performance and eco-system roadmaps.

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.

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 are looking for an experienced BI Engineer to join our Finance & Operations department.
In this role you will:
Effectively collaborate with our leadership team, product managers, sales and marketing teams, and other stakeholders to scope scalable data infrastructure and analysis approaches to complex business questions.
Develop and optimize ELT/ETL workflows to power business and product analyses based on multiple data sources.
Build compelling data visualizations, reports, and dashboards to serve data-driven decision-making processes.
Create reports, dashboards, responses to ad hoc requests, forecasts, etc. utilizing our data warehouse and other sources of data.
Be a one-person show and collaborate with our data analyst for fast delivery.
Bring in industry best-practices to help pursue the goal of becoming a data-driven company.

We are looking for an experienced and visionary Data Engineering Team Lead to play a pivotal role in our data engineering process and execution across our product portfolio. In this leadership position, you will lead a talented team of Data Engineers, steering the development and maintenance of optimized and highly available data pipelines that underpin our data-driven decision-making. Data stack is very vast and can be delivered from multiple App Store Optimization data sources such as Google, Apple, App intelligence platforms, Attribution platforms, etc.

Responsibilities:
Leading the data engineering team and working closely with cross-functional teams.
Effectively manage tasks and workflows using Jira, ensuring timely completion and adherence to project timelines.
Monitor pipelines and alerts through email and Slack, promptly addressing any issues that may arise.
Identify bottlenecks within processes and strategize solutions to ensure smooth project execution.
Collaborate with team members to plan and prioritize tasks, understanding the specific needs and requirements for successful project delivery.
Oversee the maintenance of data-related resources, including MySQL, BigQuery, Postgres/TSDB, with a focus on monitoring, upgrading, optimizing, and developing these systems.
Design and maintain Airflow data pipelines, creating new procedures for monitoring and managing datasets to support both internal and external clients.
Review and analyze Pull Requests (PRs) and Code Reviews (CRs) to maintain code quality and consistency.
Roles & Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs.
Prepare data for analytical or operational uses.
Design, build, test, and maintain data pipelines to bring together information from multiple systems.
Represent data insights.

As a Senior Backend engineer with Spark experience you'll be responsible for implementing core features, building infrastructure, and finding innovative solutions while getting into the language internals. We're looking for top talents who are ready to level up their skills in an exciting and fast-paced environment. You will be responsible for leading features and products end to end, from design to production; build and develop modules, data pipelines, and services.

We are searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group.
As a Senior Big Data Engineer, you will:
Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.
Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes.
Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps).
Work with Data Scientists to understand needs and design ML infrastructure solutions
Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts.

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

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