לוח משרות דרושים איש ביג דאטה Big Data בתל אביב יפו

We are looking for a Senior Data Engineer.
In your role as a Data Engineer, you'll be actively engaged in the most fascinating and demanding projects for our clients. Handling high-scale operations, heavy traffic, stringent SLAs, and massive data volumes is just the starting point. Our leadership in the realms of Big Data, Streaming Data, and Complex Event Processing (CEP) stems from our adept use of cutting-edge, optimal technologies.
Responsibilities:
Apply software-engineering methods and best practices (Medallion Architecture) in Data Lake management.
Develop Data pipelines to provide ingest and transformation of data.
Manage and enhance orchestrated pipelines across company
Data Modeling: Developing data models to ensure efficient storage, retrieval, and processing of data, often involving schema design for NoSQL databases, data lakes, and data warehouses.
Scalability: Ensuring that the big data architecture can scale horizontally to handle large volumes of data and high traffic loads.
Data Security: Implementing security measures to protect sensitive data, including encryption, access controls, and data masking.
Data Governance: Establishing data governance policies to ensure data quality, compliance with regulations, and data lineage.

Were looking for an exceptional data engineer to join our journey to create a data-based platform that will transform the shipping industry.
As a senior data engineer, you will take an instrumental part in laying the foundations and building the data infrastructure in the company, plan and implement the relevant data infrastructure and tools, be in charge of pipelining the companys data and be responsible for the integrity of the data as we scale up.
Responsibilities:
Contribute to the ongoing management of the data team platform including platform enhancements, capacity management, performance monitoring, troubleshooting and resolution of technical issues
Designing and optimizing data storage solutions, including data warehouses and data lakes.
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
Developing and maintaining data pipelines for efficient extraction, transformation, and loading (ETL) processes.
Participate in proofs-of-concept on platform innovation, and effectively transition and scale those concepts into production at scale through, engineering, deployment and commercialization.
Part of a cross-disciplinary team, working closely with other data engineers, software engineers, data scientists, data managers and business partners.

We are looking for a Data Engineer Team Lead to join our Data Engineering team in Tel Aviv.

You will be leading one of our data platform teams, that is responsible for processing, storing, and serving data for all our core systems.

What Youll Do:

Lead and mentor a data lake team within our data organization.
Drive high-level projects with company-wide visibility.
Manage the team roadmap, team building, and SW project execution.
Collaborate with stakeholders, including developers, product managers, and business operations.
Take full ownership of end-to-end feature development, from design to production. Contribute to building and designing innovative big data solutions.
Research core technologies and integrate with external APIs and services.

We're looking for a Senior Big Data Developer to join our Data Engineering team in Tel Aviv.

You will be a part of our Data Management platform, that is responsible for processing, storing, and serving data for all our core systems.

As a Senior Big Data Developer, we will encourage you to take a proactive & autonomous approach in research & development while working collaboratively with the team. Our ideal candidate is a fast but thorough problem solver, and a fun person to work with!

What Youll Do:

End-to-end feature development and ownership, from design to production, with a strong emphasis on innovation and efficiency.
Take part in building & designing the next generation of company Identity solutions.
Implement high scale Big-Data solutions and contribute to our platform infrastructure and architecture.
Research core technologies and integrations with external APIs and services.
Working with various stakeholders: Product, Engineering, Data providers etc.
Lead and mentor other developers through complex projects that will affect our core business.

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.

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 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

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.

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.