לוח משרות דרושים איש ביג דאטה Big Data

Required Data Tagging
Description
A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
Manually tag objects in images with high accuracy and consistency.
Review and verify the accuracy of tagged data, making corrections as needed.
Work with predefined tagging guidelines and contribute to their improvement.
Collaborate with the machine learning team to understand tagging requirements and deliver datasets that meet project specifications.

As part of the Audiences team, youll work on highly scalable systems, tackle real-time challenges, and contribute to a platform that directly impacts the success of our customers campaigns.

Our team mixes disciplines from back-end, data, AI and front-end engineers and were looking for a great back-end data oriented developer that is passionate about what they do, who want to dive into the worlds of big data, microservices and production management at our scale, to help us reach our vision and goals

What youll do:
Solve diverse, complex problems at a large scale.
Collaborate with Product Managers, data scientists and Software Engineers to deliver innovative, user-facing products.
Independent - cradle to grave, own a feature from scratch to production.
Analyze and improve performance, scalability and stability of our products, environments and tools.
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale.

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. Join Our Team as a Senior Data Engineer at DRS RADA Technologies! Job Summary: We are seeking an experienced Senior Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business. Key Responsibilities:
* Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
* Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow Azure services
* Troubleshoot and optimize queries and jobs for performance improvements.
* Implement best practices for data governance, security, and monitoring.
* Stay updated with industry trends and emerging technologies in data engineering.

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XM Cyber platform enables companies to rapidly prioritize and respond to cyber risks affecting their business-sensitive systems. We are seeking a talented and motivated BI Lead to build our Tableau environment from the ground up. The ideal candidate will have strong analytical skills, a deep understanding of data visualization principles, and the expertise to transform data into actionable insights. You will play a single and critical role in designing, developing, and implementing Tableau dashboards and reports that facilitate data-driven decision-making within our organization. Responsibilities:
* Environment Setup: Establish and configure the Tableau environment, including server setup, user access, and security protocols.
* Data Integration: Collaborate with data engineering and IT teams to gather, clean, and integrate data from multiple sources (Salesforce, MongoDB, APIs) into Tableau.
* Dashboard Development: Design, create, and maintain interactive and user-friendly
* Tableau dashboards and reports that meet the needs of various stakeholders across the organization.
* Data Modeling: Develop and document data models and schemas to ensure efficient data retrieval and analysis.
* Business Requirements Gathering: Work closely with business users to understand their reporting needs and translate them into technical specifications.
* Performance Optimization: Monitor and optimize the performance of Tableau reports and dashboards, ensuring they meet performance standards and are scalable.
* Training and Support: Provide training and support to end-users, guiding them on how to utilize Tableau for self-service analytics.
* Documentation: Maintain comprehensive documentation of the Tableau environment, data sources, dashboards, and user training materials.
* Continuous Improvement: Stay updated on the latest Tableau features and best practices, and continuously seek opportunities to enhance and optimize the reporting capabilities.

looking for a skilled data engineer to join a cutting-edge project supporting a military technology unit. This role offers a unique opportunity to work on innovative cloud-based data infrastructure within a secure and challenging environment.

Responsibilities:
Data Infrastructure Development: Design, build, and manage advanced data infrastructure in Google Cloud Platform (GCP) to support the operational and analytical needs of the units clients.
Data Pipeline Engineering: Develop robust and scalable data pipelines in GCP, perform integrations with diverse data sources, and enable AI/ML workflows using tools such as Dataflow, Pub/Sub, and BigQuery.
ETL & DWH Automation: Improve, optimize, and automate ETL processes and data warehouse operations in the cloud.
Cross-Organizational Tech Support: Participate in high-impact, cross-organizational technology projects in a dynamic and innovative technical environment.

Were building the future workforce of Technology organization, while working tightly with domain owners and top management to define what per-role excellence means, leveraging data from development tools to help infer proficiency levels, providing tailored development plans and training & learning material, and harnessing the individuals themselves for their professional and personal development.
Responsibilities:
Design, implement, and maintain the complete data flow, from extraction to visualization using external tools Work within a product team where solutions are collaboratively proposed. You will be expected to translate requirements into technical designs and implement them as part of large-scale data engineering solutions Utilize various Machine Learning models to explore data, collaborating with cutting-edge Big Data tools and techniques Collaborate with various stakeholders to plan, design, develop, TEST and maintain extraordinary features Collaborating with a team of skilled developers to develop high-traffic, cloud-based applications.

We are looking for a Senior Back-end Engineer who will develop solutions that transform unstructured electronic communication data (from phone calls, chats, emails, etc.) into actionable intelligence for financial institutions.

What Youll Do:
Design and implement feature requests.
Optimize system scalability and resilience.
Work closely with the Product Team and Architects.
Support and maintain the production environments.

We are looking for a talented and experienced big data engineer to join our cyber defence group to take over a cutting-edge data solution.

The successful candidate should have hands-on experience with big data processing technologies and architectures.

The candidate will join our growing team of analysts, developers, data scientists, and architects who design and develop innovative solutions to the most critical needs of our customers.



Responsibilities

Designing, architecting, implementing, and supporting our data pipelines and processing flows.
Collaborate with analytics department to analyze and understand data sources.
Provide insights and guidance on database technology and data modelling best practices.
Insure the maintenance of data integrity, managing data and analysis flows with attention to detail and high responsibility.
Implementing algorithms with our data scientists.

Our Data team consists of highly skilled senior software and data professionals who collaborate to solve complex data challenges. We process billions of records daily from multiple sources using multi-stage pipelines with intricate data structures and advanced queries.
We are responsible for building data pipelines end to endfrom raw data ingestion to the creation of actionable datasetsfollowing the bronze, silver, and gold paradigm. This includes business logic, infrastructure, ETLs, optimization, and ongoing maintenance.
The data we deliver drives insights and decision-making across the organization and enhances our product offerings. We leverage technologies such as AWS, Snowflake, Iceberg, Airflow, Spark, and more.
What Youll Do?
Develop and maintain ETL pipelines, including complex SQL queries.
Bridge the gap between business requirements and technical solutions.
Design, develop, and optimize scalable data infrastructure.
Write high-quality, maintainable code and SQL.
Utilize technologies such as Snowflake, Iceberg, Airflow, Spark, and other data infrastructure tools.
Integrate external data sources into our data ecosystem.
Contribute to the evolution of our AWS-based infrastructure.

Dont miss this opportunity to build this part of the companys data infrastructure from the ground up, applying your own as well as industry best practices knowledge. You will have the opportunity to acquire both new skills and knowledge while applying your critical thinking and data modeling skills. The role includes performing data analytics, developing and maintaining systems, analyzing existing interfaces, investigating complex processes for troubleshooting, and more.



Responsibilities:



Pull, analyze and clean raw data from various data sources to ensure accuracy and consistency and integrate into the ETL process
Develop and automate data pipelines for reporting and analysis, working with ETL processes
Design and implement data models, dashboards, and reports using business intelligence tools such as Tableau, or similar
Translate business requirements to technical specifications
Identify trends, patterns, and opportunities in revenue-related data to support decision-making, optimize workloads and improve performance
Design and own our Data Warehouse
Work with a variety of databases and maintain our BI data platform (Tableau, Snowflake, S3)
Provide regular and ad-hoc reports, visualizations, and analyses to stakeholders across the business
Troubleshoot and resolve issues related to data quality, integrity, and reporting tools
Advocate for data-driven decision making across the company by empowering stakeholders with reliable and self-service data access
Continuously learn and stay up to date with BI best practices and trends in data analysis and engineering

Who are we
we are an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and users engagement throughout the ads lifecycle.
We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.
What you will do
You will work in a team of data and backend engineers producing user attentiveness insights and recommendations that help big brands optimize their digital advertising strategy.
You will process 10s of billions of records a day using mainly Python and Scala, utilizing advanced technologies like Spark, Kafka, Docker, Kubernetes, DataBricks and GCP managed solutions.
You will build data pipelines that integrate with internal and external data sources from various platforms to enhance business insights while keeping standards high with testing, automated deployment and high degree of observability.
You will be responsible for defining solutions and delivering them while collaborating with engineering & product teams on productionizing & monitoring your solutions.
You will explore, implement and support multiple data initiatives and projects at the same time.

Were hiring our first Business Intelligence Analyst to lay the foundation for data-driven culture. This role is built for someone whos deeply business-minded, analytical, and excited to translate data into meaningful insights. Youre curious about how the business works, eager to answer real questions with real data, and have the drive to independently learn and master new tools and systems. Youre comfortable navigating data environments and can connect the dots between business needs and data solutions.

This is a unique opportunity to join a fast-scaling startup in a hot space and shape how data drives strategy and execution from day one.

Responsibilities
Work closely with management to understand what matters most, and define the metrics that drive our business forward
Collaborate with R&D and developers to make sure the right data is flowing in, accurate, and accessible
Connect tools like Salesforce and NetSuite into a unified, trustworthy view of the company
Turn complex data into simple, beautiful dashboards that teams actually use
Help shape a culture where data isnt just availableits useful, actionable, and part of every conversation

We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.
Responsibilities:
Design and development of high-quality big data processing engineer
Identify and proactively address potential product risks and challenges and ensuring success
Work closely with stakeholders to transform requirements into technical specifications
Ensure that the code is consistent with industry coding standards and best practices
Take a deep dive into the technical details and provide expert advice and solutions