לוח משרות דרושים איש ביג דאטה Big Data

We are interested in welcoming a Big Data Expert to our diligent Big Data team and take overall responsibility for developing, executing, and maintaining strategy and workflow while anticipating possible consequences, changes, and trends.
We believe that the perfect candidate possesses excellent leadership, communication, and social skills to build an effective and motivated team, utilizing the full potential of the skills and expertise of each member.
Responsibilities and tasks include:
Implementation, tuning and ongoing administration of Big Data infrastructure on Hadoop cluster and other NoSQL platforms
Managing end-to-end availability, monitoring performance, and planning capacity using a variety of open source and developed toolsets
Research and perfect best practices to support implementation of new features and solutions in Big Data and NoSQL space
Perform all levels of DBA support (e.g., plan and coordinate patching/upgrades)
Manage database backup and recovery
Troubleshoot and resolve database/application issues in a timely manner, tuning performance at the DB and SQL levels

Required Big Data & GenAI Engineering Lead
As a Big Data & GenAI Engineering Lead within our Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead you will...
Design, lead, and evolve our petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.

As a Senior Big Data Engineer on our BI team, youll build and scale the data infrastructure that powers our business insights. Youll design and implement robust data pipelines to process billions of daily records, leveraging cutting-edge cloud technologies and visualization platforms to transform data into actionable intelligence.

If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!

Responsibilities:
Design, Build, and operate scalable infrastructure for optimal data extraction, transformation, and loading from a wide variety of data sources, utilizing SQL, cloud migration tools, and Big Data technologies.
Work with a variety of programming languages, systems, frameworks, and cloud technologies, including Python, DBT, Airflow, AWS, Linux, Spark, and more.
Collaborate with customers and internal stakeholders to resolve data-related technical issues and support their data infrastructure and business needs.
Implement data validation, monitoring, and governance practices to ensure data accuracy, consistency, and security.

If youre looking to build something big, solve real problems, and grow fastwed love to meet you.

Responsibilities:

Own, enhance, and improve core platform

Focus on system efficiency and resilient infrastructure

Integrate well-known SAAS platforms to big data repository e.g., the major cloud providers, DataDog, and Snowflake

Optimize Spark and airflow processes

Contribute to data design and platform architecture while working closely with other business units and engineering teams

Face the challenges of testing and monitoring your large-scale data pipelines

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.

Join us for a meaningful and impactful role in safeguarding homeland security.

Role Description:

Develop and maintain complex ETL/ELT processes and Data Pipelines.
Work with Data Warehouses and Data Lake infrastructures.
Integrate diverse data sources while ensuring data quality, availability, and reliability.
Optimize and improve performance of processes and queries.
Collaborate closely with Analysts, Data Scientists, and development teams to deliver data-driven decision support solutions.

We are growing and are looking for a Senior Data Infra Engineer
who value personal and career growth, team-work, and winning!
What your day will look like:
Design, plan, and build all aspects of the platforms data, machine learning (ML) pipelines, and infrastructure.
Build and optimize an AWS-based Data Lake using best practices in cloud architecture, data partitioning, metadata management, and security to support enterprise-scale data operations.
Collaborate with engineers, data analysts, data scientists, and other stakeholders to understand data needs.
Solve challenging data integration problems, utilizing optimal ETL/ELT patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Lead end-to-end data projects from infrastructure design to production monitoring.

We are growing and are looking for a Senior Data Platform Engineer
who value personal and career growth, team-work, and winning!
What your day will look like:
Design, plan, and build all aspects of the platforms data, machine learning (ML) pipelines, and infrastructure.
Build and optimize an AWS-based Data Lake using best practices in cloud architecture, data partitioning, metadata management, and security to support enterprise-scale data operations.
Collaborate with engineers, data analysts, data scientists, and other stakeholders to understand data needs.
Solve challenging data integration problems, utilizing optimal ETL/ELT patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
Lead end-to-end data projects from infrastructure design to production monitoring.

we are looking for a Data Engineer
What You'll Do:

Design, build, and maintain data pipelines and infrastructure
Develop and implement data quality checks and monitoring processes
Work with engineers to integrate data into our systems and applications
Collaborate with scientists and analysts to understand their data needs

we are looking for a BI Data Engineer
As a BI Data Engineer , you will play a key role in designing, developing, and maintaining scalable data solutions that generate business impact.

Key Responsibilities:

Design and implement robust data models, ETL pipelines, and data flows that support advanced analytics and reporting across the organization.
Develop new data solutions from scratch while maintaining and enhancing existing infrastructure
Partner with the Data Architect to manage and evolve Skais data architecture, ensuring it accurately reflects and supports the evolving business model.
Work closely with business stakeholders to convert complex requirements into actionable data insights that drive informed decisions.
Become a focal point for all data-related matters in the organization.

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

Were building the future workforce of our companys 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're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for a data Annotation Manager to join our R&D team and manage a team of data taggers responsible for tagging and labeling data for Machine Learning models.
A day in the life and how youll make an impact:
* Managing a team of 8 data taggers in Israel and overseeing a team of data validators in the US.
* Ensure that the data is accurately tagged and labeled.
* Ensure that the team is meeting its goals and deadlines.
* Managing an outsourced team that's performing the scale data tagging and labeling.
* Work with the data science team to ensure that the data is being used effectively.
* Develop and implement processes to improve the efficiency and accuracy of the data tagging process.
* Train new team members on the data tagging process.