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נאספה מאתר אינטרנט
20/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Data Engineering Team Lead to join our in-house infrastructure group and play a pivotal role in contributing to the companys on-going success Come join us!
What You Will Do:
First, you will design a data pipeline architecture for obtaining, storing, ingesting, and routing large-scale amounts of data from various sources worldwide, both proprietary and commercial, in a distributed manner.
You will handle real time and vast data feeds which need to be accurately timestamped and recorded without congesting the network.
You will then lead a team of engineers to implement, maintain and consistently enhance the data pipeline, evaluate different data providers based on accuracy, cost, and richness, keep track of changes, monitor the quality of data sources, and suggest new ways to optimize storage and reduce latency.
Your Impact:
Conceiving innovative and novel ideas in all stages of the ETL pipeline.
End-to-end ownership POC, design, development cycles, deployment, and support.
Creative thinking using state of the art tech stack.
Requirements:
Solid programming foundation (e.g. data structure and algorithm, performance, paradigm, revision control, CI/CD, testing).
Proven experience in designing and building a large-scale data pipeline
BSc in Computer Science or equivalent software engineering fundamentals (Autodidact, Military experience)
Can-do mentality, intellectual curiosity, self-motivation, and ability to communicate within and across teams.
5+ years experience with modern C++ (C++11 /14 /17).
Experienced with Linux and scripting (python and/or bash)
Knowledge and understanding of communication protocols in different layers (TCP, HTTPS and more)
Preferred Qualifications:
A passion for capital markets
Experience with Spark, Hadoop, Snowflake or similar
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 looking for a Senior Fullstack Engineer to join our in-house research infrastructure team and play a pivotal role in contributing to the companys ongoing success, Come join us.
What you will do:
The teams mission is to build the ultimate platform for quantitative finance research and Real Time production trading. Our pipelines process huge amounts of data from various sources, and you will take part in developing new workflows using state of the art technology to gain insights and optimize across all products.
Your Impact:
The workflow you will develop will be used by the entire company.
Conceiving innovative and novel ideas to visualize multi-dimensional data across a variety of client applications.
Working with quantitative researchers and production traders to deliver a high-quality UX/UI experience
End-to-end ownership POC, design, development cycles, deployment, and testing.
Creative thinking using state-of-the-art tech stack.
Requirements:
BSc in Computer Science or equivalent software engineering fundamentals (Autodidact, Military experience)
Can-do mentality, intellectual curiosity, self-motivation, and ability to communicate within and across teams.
7+ years of professional experience as a software engineer with significant Front End and Back End experience.
Strong coding skills in JS and Python.
A passion for creating a slick UX.
A deep understanding of production systems and architecture.
Experience with UI testing frameworks and CI pipelines
Preferred Qualifications:
A passion for capital markets.
Prior experience in quantitative finance.
Prior experience in C++, C#
This position is open to all candidates.
 
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פורסם ע"י המעסיק
09/06/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
A global sports technology hub offering multiple solutions to millions of users worldwide. The company provides Real-Time results, updated stats, original content, aggregated information, customized news feeds, and more. Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale. We are looking for a talented and experienced data ENGINEER to join our data engineering team. In this role, you will be responsible for designing, implementing, and maintaining our data pipelines and infrastructure. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the availability, accessibility, and quality of our data assets. Your expertise in data processing, database technologies, and ETL processes will be essential in enabling effective data utilization and analysis.
Responsibilities:
* Design, develop, and maintain efficient and scalable data pipelines that extract, transform, and load data from various sources into target systems.
* Monitor and optimize data pipelines for performance, reliability, and data quality.
* Implement and manage data Storage solutions, including relational databases, data warehouses, and NoSQL databases.
* Implement data partitioning, indexing, and compression strategies for improved performance and scalability.
* Identify and resolve data quality issues, including data cleansing, standardization, and validation.
* Identify and implement performance optimization techniques to enhance data processing speed, query performance, and system scalability.
* Monitor and analyze data infrastructure and pipeline performance, identifying bottlenecks and implementing optimizations.
* Stay updated on emerging technologies and trends in data engineering, proactively identifying opportunities for innovation and improvement.
Requirements:
* Relevant Bachelor's degree preferably CS, Engineering/ Information Systems, or other equivalent Software Engineering background.
* 5+ years of experience as a data ENGINEER.
* Strong SQL abilities and hands-on experience with SQL and no-SQL DBs, performing analysis and performance optimizations.
* Hands-on experience in Python or equivalent programming language
* Experience with data warehouse solutions (like Bigquery/ Redshift/ Snowflake or others)
* Experience with data modeling, data catalog concepts, data formats, data pipelines/ ETL design, implementation, and maintenance.
* Experience with AWS/GCP cloud services such as GCS/S3, Lambda/Cloud Function, EMR/Dataproc, Glue/Dataflow, and Athena.
* Experience with Airflow and DBT (advantage).
* Experience with MLOps (advantage).
* Experience with development practices Agile, CI/CD, TDD - Advantage.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
12/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a talented and experienced Data and ML Engineer, youll be leading the ML infrastructure and data processing R&D effort, taking a pivotal part in developing our proprietary machine learning-based perception and navigation algorithms.

In this position, you will report to the AI Team Lead and play a key role in a fast-growing team with significant impact and potential for professional and personal growth.

Responsibilities - what you will be doing

Design, build, and manage the data processing pipelines and solutions used for training and testing of AI algorithms
Collaborate closely with perception and navigation R&D team members to implement machine learning algorithms and models tailored for high-accuracy offline execution, later to be used for automatic labeling and semi-supervised training
Profiling, analyzing, and benchmarking of models to identify areas for improvement in terms of efficiency, and accuracy emphasizing aspects of real-time performance on embedded platforms
Stay up to date with the latest advancements in deep learning foundation models and ML algorithms, data management solutions, and cloud computing advancements
Collaborate with the data management and cloud teams to guide and build a unified data management solution based on multi-sensors and our various data sources
Requirements:
BSc in Computer Science or Software Engineering or equivalent degree
Solid background in cloud-based workflows, acquaintance with existing data management and infrastructure frameworks, and understanding of tradeoffs and limitations of different solutions
Proficiency in Python programming, experience working with relevant deep learning and data processing libraries (Pytorch /TensorFlow, Pandas)
Proven experience with designing and building pipelines for Machine Learning projects based on the implementation of SOTA algorithms
Advantages this will bring you to our front-row

Expertise in one or more perception-related aspects of computer vision are a large advantage (SLAM, sensor fusion, intrinsic/extrinsic calibration, 3D reconstruction, etc.
Experience with C++ and ROS programming
This position is open to all candidates.
 
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פורסם ע"י המעסיק
09/06/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a passionate data team leader to join our dynamic team. We're revolutionizing how manufacturers extract value from their Big Data, driving Industry 4.0 forward with our cutting-edge industrial AI solutions. In this role, You'll lead a team of data analysts and engineers, collaborating with development and algorithm teams to design and implement game-changing applied data models and solutions. From developing the data strategy to overseeing data -driven client projects, you'll ensure data quality, integrity, and security throughout the entire process.
 
Contribution:
Key Responsibilities:
* Lead, mentor, and manage a team of data analysts and engineers.
* Participate and directly contribute to the team effort with 50% Hands-on involvement.
* Collaborate with development and algorithm teams to design and implement data models and AI solutions.
* Develop and maintain the data strategy, methods, and tools, aligned with business goals.
* Oversee the planning, execution, and delivery of data projects- Infrastructure and client-based solutions.
* Ensure data quality, integrity, and security across all data processes.
* Provide technical guidance in data analysis and management best practices.
* Stay current with industry trends and advancements in AI and data technologies.
* Communicate complex data concepts and insights to both technical and non-technical audiences.
Requirements:
* Technical Expertise: A Bachelor's or Master's degree in data Science, Computer Science, Engineering, or a related field.
* Proven Leadership: Minimum of 3 years of experience leading and motivating data teams.
*  data Model Mastery: A proven track record in designing and implementing data models and end-to-end solutions.
* AI & Machine Learning Savvy: A strong understanding of AI and Machine Learning concepts, especially in industrial applications.
* Communication: Excellent leadership, communication, and interpersonal skills to bridge the gap between technical and non-technical audiences.
*  data Mastermind: Proficiency in data analysis tools and programming languages like Python, R, SQL, etc. Experience with Big Data technologies (Hadoop, Spark) is a plus.
* Innovation Advocate: A passion for staying current with industry trends and advancements in AI and data technologies.
* Thriving Spirit: The ability to thrive in a fast-paced, innovative environment. 
We offer:
* The opportunity to be at the forefront of the AI revolution in manufacturing.
* A collaborative and fast-paced work environment.
* The chance to make a significant contribution to our business growth and success. Ready to join the movement? Apply today!
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
16/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Senior Data Engineering
We are looking for a talented and experienced Data Engineer to join our data engineering team. In this role, you will be responsible for designing, implementing, and maintaining our data pipelines and infrastructure. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the availability, accessibility, and quality of our data assets. Your expertise in data processing, database technologies, and ETL processes will be essential in enabling effective data utilization and analysis.
Responsibilities:
Design, develop, and maintain efficient and scalable data pipelines that extract, transform, and load data from various sources into target systems.
Monitor and optimize data pipelines for performance, reliability, and data quality.
Implement and manage data storage solutions, including relational databases, data warehouses, and NoSQL databases.
Implement data partitioning, indexing, and compression strategies for improved performance and scalability.
Identify and resolve data quality issues, including data cleansing, standardization, and validation.
Identify and implement performance optimization techniques to enhance data processing speed, query performance, and system scalability.
Monitor and analyze data infrastructure and pipeline performance, identifying bottlenecks and implementing optimizations.
Stay updated on emerging technologies and trends in data engineering, proactively identifying opportunities for innovation and improvement.
Requirements:
Relevant Bachelor's degree preferably CS, Engineering/ Information Systems, or other equivalent Software Engineering background.
5+ years of experience as a Data engineer.
Strong SQL abilities and hands-on experience with SQL and no-SQL DBs, performing analysis and performance optimizations.
Hands-on experience in Python or equivalent programming language
Experience with data warehouse solutions (like Bigquery/ Redshift/ Snowflake or others)
Experience with data modeling, data catalog concepts, data formats, data pipelines/ETL design, implementation, and maintenance.
Experience with AWS/GCP cloud services such as GCS/S3, Lambda/Cloud Function, EMR/Dataproc, Glue/Dataflow, and Athena.
Experience with Airflow and DBT (advantage).
Experience with MLOps (advantage).
Experience with development practices Agile, CI/CD, TDD - Advantage.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
22/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Data Engineer
Full-Time
Tel Aviv
Who are you?
You are a seasoned Data Engineer with a deep understanding of data modeling, massive parallel processing (in both realtime and batch) and bringing Machine learning capabilities into large-scale production systems. You have experience at a cutting edge startup and are passionate about building the data infrastructures that fuels the worlds first intelligent agent. You are a team player with excellent collaboration, communication skills and a can do approach
What youll be doing?
Build, maintain, and scale data pipelines for both batch and real-time data processing across multiple sources and ecosystems.
Design and implement robust APIs and integrate diverse data systems to support data collection and aggregation.
Develop and manage advanced data architectures, including lakehouses, streamhouses, and data warehouses.
Collaborate with data scientists and other stakeholders to implement effective data solutions and integrate large language models (LLMs) into our systems.
Work with cross-functional teams to define business needs and translate them into technical implementations that leverage your deep understanding of data architectures and software engineering best practices.
Develop and lead initiatives to manage, monitor, and debug data systems, enhancing their reliability, efficiency, and overall quality.
Requirements:
3+ years of experience in designing and managing sophisticated lakehouse and data warehouse architectures, ensuring scalable, efficient, and reliable data storage solutions.
3+ years of experience building and maintaining ETLs using Apache Spark.
2+ years of experience working with streaming technologies (e.g., Apache Kafka, Pub/Sub) and implementing real-time data pipelines using Stream processing technologies (e.g., Spark Streaming, Cloud Functions)
3+ years of experience with SQL and distributed query engines such as Presto and Trino, with a strong focus on analyzing and optimizing query plans to develop efficient and complex queries.
2+ years of experience developing APIs using Python, with proficiency in asynchronous programming and task queues.
Proven expertise in deploying and managing Spark applications on enterprise-grade platforms such as Amazon EMR, Kubernetes (K8S), and Google Cloud Dataproc.
Solid understanding of distributed systems and experience with open file formats such as Paimon and Iceberg.
2+ years of experience developing infrastructures that bring machine learning capabilities to production, using solutions such as Kubeflow, Sagemaker and Vertex
3+ years of experience writing production-grade Python code and working with both relational and non-relational databases
Solid understanding of software engineering concepts, design patterns, and best practices, with the ability to architect solutions and integrate different system components.
Proven experience working with unstructured data, complex data sets, and data modeling
Advantage Demonstrated experience orchestrating containerized applications in AWS and GCP using EKS and GKE.
Advantage Proficiency in Scala and Java.
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're seeking talented data engineers to join our rapidly growing team, which includes senior software and data engineers.
Together, we drive our data platform from acquisition and processing to enrichment, delivering valuable business insights. Join us in designing and maintaining robust data pipelines, making an impact in our collaborative and innovative workplace.
Responsibilities:
Design, implement, and optimize scalable data pipelines for efficient data processing and analysis.
Build and maintain robust data acquisition systems to gather, process, and store data from various sources.
Work closely with DevOps engineers, Data Science and Product teams to understand their requirements and provide data solutions that meet business objectives.
Proactively monitor data pipelines and production environments to identify and resolve issues promptly.
Implement best practices for data security, integrity, and performance.
Mentor and guide junior team members, sharing expertise and fostering their professional development.
Requirements:
6+ years of experience in data or backend engineering, preferably with Python proficiency for data tasks.
Demonstrated experience in designing, developing, and delivering sophisticated data applications
Ability to thrive under pressure, consistently delivering results, and making strategic prioritization decisions in challenging situations.
Hands-on experience with data pipeline orchestration and data processing tools, particularly Apache Airflow and Spark.
Deep experience with public cloud platforms, preferably GCP, and expertise in cloud-based data storage and processing.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent experience.
Advantage:
Familiarity with data science tools and libraries.
Experience with Docker containers and Kubernetes.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
22/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are currently seeking a Data Architect to join our fast-paced company with a success driven culture. Our Data team specialize in delivering modern data processing and analytics solutions on top of the major public clouds. We are working in a multi-cloud environment on a wide variety of projects for leading customers which include successful startups and key enterprises.
As a data architect you will collaborate with our customers to design data analytics solutions, focus on delivering the right solution and drive feature innovation based upon customer needs.
Job Responsibilities:
Architect data solutions & platforms on major public clouds, technical design, and development
Design, Develop and Operate data pipelines for extraction, transformation, and loading (ETL/ELT) of data from a variety of data sources.
Expert in writing efficient SQL queries and optimize performance
Write Technical Designs and turn business requirements to technical solutions
Team player with a can-do attitude
Partner with analysts and data scientists to help ship projects into production grade systems.
Be a focal point for data externalization, and develop advanced dashboards.
Work with analysts and Software Engineers to develop data pipelines for highly complex processes using a combination of HFDS like file systems, Spark/Flink, Presto, Kafka and more.
Requirements:
Bachelors degree or equivalent practical experience
Excellent communication skills including the ability to identify and communicate data driven insights
2+ years of hands-on experience in DevOps tools and practices (e.g CI/CD, IaaC, containers, etc. ) Must
2+ years of hands-on experience in Scala/Java/Python Must
2+ years of hands-on experience writing complex ETL pipelines using parallel processing engine (e.g. Apache Spark/Apache Beam etc) Must
Experience with Cloud Data Lakes
Experience with data warehousing platforms (Snowflake/Redshift/BigQuery/Azure Synapse Analytics)
Experience with data manipulation via scripting and coding (SQL, Python)
Experience with at least one of the major public cloud platforms (AWS/GCP/Azure)
Experience with NoSQL database/s of the following: Elasticsearch, Redis, MongoDB, Cassandra or commercial equivalents
Advanced Qualifications:
Experience with orchestration tools like Airflow, Prefect
Experience with stateful stream processing
Experience with dimensional data modeling or other schema design practices for Data Warehouses
Experience with data modeling and reporting
Experience with Kubernetes/Kubeflow
Experience in translating business needs to data tables and reports.
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
Were looking for brilliant data engineers to join our rapidly growing team.
You will join a team consisting of senior software and data engineers that drive our data platform from data acquisition, to processing and enrichment and all the way to business insights.
You will join an early stage team and company and will have a major impact on the decisions and architecture of our various products.
Responsibilities:
Design and build data acquisition pipelines that acquire, clean, and structure large datasets to form the basis of our data platform and IP
Design and build data pipelines integrating many different data sources and forms
Define architecture, evaluate tools and open source projects to use within our environment
Develop and maintain features in production to serve our customers
Collaborate with product managers, data scientists, data analysts and full-stack engineers to deliver our product to top tier retail customers
Take a leading part in the development of our enterprise-grade technology platform and ecosystem
Harmonize and clean large datasets from different sources.
Requirements:
At least 6 years of experience in software engineering in Python or an equivalent language
At least 3 years of experience with data engineering products from early-stage concept to production rollouts
Experience with cloud platforms (GCP, AWS, Azure), working on production payloads at large scale and complexity
Hands-on experience with data pipeline building and tools (Luigi, Airflow etc), specifically on cloud infrastructure
Advantage: Hands-on experience with relevant data analysis tools (Jupyter notebooks, Anaconda etc)
Advantage: Hands-on experience with data science tools, packages, and frameworks
Advantage: Hands-on experience with ETL Flows
Advantage: Hands-on experience with Docker / Kubernetes.
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 looking for a talented C++ engineer to join our Tel Aviv R&D center.
If you want to have a key role in the development of a cross platform, High availability & high performance-oriented fintech product, Come join us.
Your Impact:
Owning features from design and development to production.
Implement cross-platform solutions while effectively utilizing the capabilities of each platform.
Perform code run time and memory footprint optimizations on various platforms.
Collaborate with team members and colleagues in solving complex problems and overcoming design challenges.
Requirements:
Positive can-do mindset.
Solid programming foundation (e.g. data structure and algorithm, performance, paradigm, revision control, CI/CD, testing).
3+ years of experience developing in C/C++, beyond course work (e.g. industry experience or a large multi-term research project).
Knowledge in modern C++ (C++11 /14 /17).
Developing a cross-platform product (Windows, Linux, Embedded OS).
Understanding of complex software systems and ability to dive fast into existing code.
Preferred Qualifications:
Experience with enterprise-grade software
Masters / Bachelors degree in Computer Science, Electrical Engineering, or equivalent practical experience.
Knowledge and experience with high performance SW development.
Knowledge with different Ethernet communication protocols.
This position is open to all candidates.
 
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