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משרה בלעדית
01/05/2024
חברה חסויה
Job Type: Full Time and Hybrid work
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.
Requirements:
BA/BS degree in Computer Science or a related technical field or equivalent practical experience
Over 3 years of experience in a data engineering role
At least 1 year of managing a team of data engineers/developers
Coding experience with Python
Experience with SQL and NoSQL databases 
Experience with data modeling, data warehousing, and building ELT/ ETL pipelines
Experience with Cloud technologies - AWS preferred
Experience building data pipelines with Big Data frameworks such as Spark, Hadoop, etc.
Experience working with CI-CD, Docker
Experience with Git and the various branching models
Experience with architecture and design patterns (microservices in particular) 
Technologically diverse background and ability/willingness to learn new things quickly
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
08/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
BSc or MSc degree in Computer Engineering, Computer Science or a related discipline
8+ years of experience in data/ software engineering within a production environment
Strong programming skills (e.g., Python,, SQL).
Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP)
Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB, Spark)
Proficiency in data modeling and database management.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
06/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
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.
Requirements:
BSc in Computer Science or related degree.
2+ years of experience in leading an engineering team.
6+ years of data engineering experience as a developer, tech lead, or architect.
4+ years of experience in Java.
Strong system architecture knowledge.
Experience in building high-volume and scalable applications.
Proficiency with cluster technologies, distributed systems, or streaming applications.
Familiarity with SQL and NoSQL databases.
Experience with pipelines/ Spark/ Kafka.
Experience with Vertica/ Redis/ Elasticsearch/ Hadoop.
Familiarity with Scrum methodologies.
AWS Service Experience.
Working knowledge of Linux, Docker, Kubernetes, CI/CD, and rollout plans.
Excellent spoken and written English communication skills.
Proactive team player with a desire to impact our engineering team, product, and customers.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
01/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
B.A / B.Sc degree in a highly quantitative field - a must.
4-5 years hands on experience as a Data Engineer querying data warehouses (SQL), structuring data processes using quantitative techniques - a must.
Fast learner with high attention to details, and proven ability to multitask on several projects at a time. - a must.
Practical experience in Python and Infrastructure in data context. a must.
High analytical skills and the ability to deep dive into details. a must.
Google Cloud Data tools (BigQuery, Cloud Composer/Airflow) - a must.
AutoML, DataFlow, Neo4J - a plus.
Practical experience with distributed data processing like Spark - a plus.
Experienced in analyzing data, and gaining insights - a plus.
Experience working for a data driven company on a large scale - a plus.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
19/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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).
Requirements:
M.Sc. (Phd preferred) in Computer Science, Engineer, or equivalent, ideally with a thesis in deep learning
Proven track record in MLOps, ML/DL engineering
High proficiency in Python and its data science stack (Pandas, sklearn, etc.).
Deep understanding of artificial deep neural networks architectures, algorithms, infrastructure, tooling and practices, ideally in NLP/NLU/NLG.
Hands-on experience with design, implementation and optimization of deep learning models using common frameworks (TensorFlow, PyTorch, HuggingFace, etc.)
Model optimization techniques familiarity with testing and hyperparameter optimization tools and frameworks.
3+ years of hands-on experience in engineering in production environments
2+ years of experience in ML
Experience in the following technologies: Dockers, Kubernetes, Aws, MongoDB
End to end experience owning feature from an idea stage, through design, architecture, coding, integration, deployment, and monitoring stages


ADVANTAGES
NLP/NLU/NLG experience in document classification, text generation, summarization, NER
Proven ability of conducting reproducible applied research in ML
Working with medical data on healthcare data projects
Experience in the following technologies: Spark/Hadoop, Airflow, Redis, Kafka
Go programming language proficiency
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
06/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
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.
Requirements:
Bachelor's Degree in Computer Science/Computer Engineering or equivalent degrees.
6+ years of data engineering experience.
Experience in building and optimizing data pipelines, ETLs, and streaming systems using technologies like Hadoop, Spark, and Kafka.
3+ years of experience in Java or Scala.
Experience with SQL & NOSQL DBs.
Experience in dealing with performance and high scale systems.
Experience with Kubernetes - advantage.
Experience with Gitlab, Grafana, InfluxDb, Kibana advantage.
Team player, ego less, strong communication skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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נאספה מאתר אינטרנט
08/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.

Responsibilities:

Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.
Requirements:
Master's degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, or any other quantitative field.
5+ years of practical data experience in big data businesses.
2+ years of experience managing a multidisciplinary data department including Analytics, Data Science and Data engineering teams.
2+ years of experience in a B2C
Strong understanding of ML, statistics and hands-on experience with SQL, Python, and data visualization tools.
Excellent analytical skills with experience in querying large, complex data sets.
Strong familiarity with cloud based DWH like BigQuery / Snowflake / Redshift - an advantage.
2+ years of experience in managing team leads - an advantage.
Self-learner, multi-tasker, able to work independently, highly organized, proactive, and a problem-solver.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
06/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
3+ Years of Experience in data engineering and big data. - Must
Experience in working with different databases (SQL, Snowflake, Impala, PostgreSQL)  Must
Experience in programming languages (Python, OOP Languages) Must
Experience with Data modeling, ETL development, data warehousing  Must
Experience with building both batch and streaming data pipelines using PySpark  Big Advantage
Experience in Messaging systems (Kafka, RabbitMQ etc) Big Advantage
Experience working with any of the major cloud providers: Azure, Google Cloud , AWS)  Big Advantage
Creating and Maintaining Microservices data processes - Big Advantage
Basic knowledge in DevOps concepts (Docker, Kubernetes, Terraform) Advantage
Experience in Design Patterns concepts Advantage
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
20/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a highly skilled and motivated Cyber Data Analyst to join our dynamic team.
The ideal candidate will be proficient in working with both structured and unstructured data, utilizing a variety of databases including GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
This role involves leveraging Python to explore data, extract insights, present trends, and make predictions.
Responsibilities:
Advanced Data Exploration: Apply Python and statistical tools to deeply explore structured and unstructured data across various database technologies (GraphDB, VectorDB, ColumnDB, Elasticsearch, and NoSQL).
Insight and Trend Analysis: Extract meaningful insights from complex data sets to identify trends, patterns, and anomalies.
In-depth Research: Research up-to-date threat-intelligence repositories and automate data enrichments into the platform.
Data-Driven Cybersecurity Analysis: Utilize advanced statistical methods and mathematical modeling to analyze data for potential threats and vulnerabilities, focusing on patterns and anomalies that could indicate security incidents.
Collaborative Insight Sharing: Work alongside cross-functional teams to communicate complex data findings. Prepare and present reports that translate intricate data insights into actionable intelligence for both technical and non-technical stakeholders.
Continuous Skill Enhancement: Stay updated with the latest statistical methods, data analysis techniques, and advancements in AI, including machine learning and deep learning, to continually improve cybersecurity data analysis practices.
Requirements:
Proven experience working with structured and unstructured data, and familiarity with databases such as GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
Expertise in Python for data exploration, analysis, and visualization.
Solid understanding of cybersecurity principles and experience in applying them to data analysis.
Experience in machine learning, deep learning, and large language models is highly desirable.
Strong analytical and problem-solving skills, with the ability to communicate complex data insights clearly and effectively.
Excellent collaboration and communication skills, with a proven track record of working effectively in team environments.
Bachelors degree in Computer Science, Cybersecurity, or a related field is a plus.
Cybersecurity threat intelligence background and proficiency in webint is a plus.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
06/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
Minimum 5 years experience with performance testing and design best practices.
Hands-on experience in performance analyzing and comparing complex SAAS products
Hands-on experience in performance tools and approaches
Strong communication skills, able to effectively communicate ideas and technical concepts to both technical and executive audiences.
Basic understanding of databases, data warehouses, and data processing
Basic knowledge and experience in software development in Python or Java
Proficient knowledge of SQL, especially for analytics and data warehousing use cases
Bonus points:
University degree in computer science, engineering, mathematics, or related fields.
Knowledge of distributed systems
Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, OpenStack).
Experience with product management software like Jira
This position is open to all candidates.
 
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