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.

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'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 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.

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.

Required Data Infrastructure Engineer
Job Description:
Design, build, and maintain scalable data solutions and infrastructure to support data processing, data quality and data tools for different data professionals and consumers in the organization
Develop and maintain generic processes to ingest data automatically from various sources into our data lake/data warehouse
Lead end to end projects in the data infrastructure group, working closely with users and leaders from the Data Engineering Guild
Collaborate with cross-functional infrastructure teams to integrate data engineering solutions into our products and services to create high-quality deliverables
Stay up-to-date with the latest trends and technologies in data engineering and recommend best practices to improve our data infrastructure.

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.

We are looking for a talented and experienced BI Engineer to join our dynamic team. As a BI Engineer, you will take a major part in defining and building the core business models, playing a key role in transforming raw data into valuable insights, and enabling informed business decisions.
WHY YOU SHOULD JOIN OUR TEAM:
Our team's mission is to be the source of actionable strategic intelligence for us. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused on serving you. Being on the data team means you get early access to cutting-edge technology & are a north star for the data teams.
Responsibilities:
Data Modeling:
Develop and maintain scalable and efficient data models using dbt (data build tool) and other ETL tools.
Design and implement logical and physical data models that align with business requirements and industry best practices.
SQL Expertise:
Write and optimize complex SQL queries to extract, transform, and load (ETL) data.
To support business objectives, perform data analysis to identify trends, patterns, and anomalies.
dbt and Snowflake Implementation:
Utilize dbt to build, test, and deploy data transformations in a version-controlled environment.
Work extensively with Snowflake, leveraging its features for efficient data storage, processing, and querying.
Data Governance:
Establish and enforce data governance policies, ensuring data accuracy, consistency, and security.
Document data models, transformations, and processes for knowledge sharing and team collaboration.
Collaboration:
Work closely with business stakeholders to understand their data needs and provide actionable insights.
Collaborate with data engineers, analysts, and other team members to ensure seamless integration of data solutions.

We are seeking an experienced Senior Backend Engineer with a passion for tackling complex challenges across a diverse range of technologies.
Your role will involve a deep commitment to software design, code quality, and performance optimization.
As part of our Engineering team , your mission will be to empower critical infrastructure by enabling the detection, investigation, and response to complex attacks and data breaches on their networks.
As a Senior Backend Engineer, you will take a lead role in developing the backend infrastructure to efficiently handle, process, and store massive volumes of data.
Your expertise will play a crucial part in building a scalable, high-performance backend system that serves as the foundation for other services within the platform. Additionally, you will be responsible for translating intricate requirements into meticulous and actionable backend designs.
Responsibilities:
Be a significant part of the development of backend infrastructure to efficiently handle, process, and store vast volumes of data.
Architect and build a scalable, high-performance backend system that supports various services within the platform.
Translate intricate requirements into meticulous backend design plans, maintaining a focus on software design, code quality, and performance.
Collaborate with cross-functional teams to implement backend and data-handling techniques.
Apply your expertise in Core Linux, SQL, and scripting languages to create robust backend solutions. Leverage your proficiency in cloud platforms such as AWS, GCP, or Azure to drive strong backend engineering practices.
Demonstrate strong debugging skills, identifying issues such as race conditions and memory leaks within the backend system. Solve complex backend problems with an analytical mindset and contribute to a positive team dynamic.
Bring your excellent interpersonal skills to foster collaboration and maintain a positive attitude within the team.

You will design, develop, and optimize ML model pipelines, and scale our models from research to production.

RESPONSIBILITIES
Building and improving our engineering infrastructure to enable and scale our applied algorithmic research and development. On a day to day, some of your responsibilities will include:

Design, Develop, Test and Maintain ETLs and services for integrating with our customers various data systems.
Design, Develop, Test and Maintain ETLs and services for building our own data processes to accommodate applied research needs as well as production needs.
Finding performance bottlenecks in our data pipelines and our machine learning pipelines and resolving them
Develop end-to-end algorithmic solutions for complex ML problems from research and training models, through design, development, evaluation and optimization.
Develop train and inference engine pipelines in a large scale distributed system.
Transform NLP and data related ML/DL algorithmic approaches into efficient and optimized production-ready solutions.
Design, Implement and Optimize ML/DL and research pipelines to improve algorithms performance.
Transform high-level product requirements into technical requirements
Brainstorm and prototype algorithmic improvements.
Work in an ambiguous environment and collect requirements from different personas in the company (Product, FE, Research, etc.)
Advise and collaborate with researchers on DL software engineering aspects (such as tools and practices).