לוח משרות דרושים מתכנת Oracle / PL/SQL

We are looking for a BI Analyst to join our community!

As a BI Analyst, you will play a key role in transforming data into actionable insights that support strategic and operational decision-making across the company. Youll work closely with stakeholders from various departments to understand business needs, translate them into analytical requirements, and deliver clear, meaningful reports and dashboards. Your work will help drive performance, uncover opportunities, and ensure teams are aligned around trusted data.

Responsibilities:
Build and own the first inhouse Sales Analytics platform, aiming to generate the Source of Truth for our business decision making.
Design, create and maintain business dashboards, reports and visualizations
Work with stakeholders to gather requirements from teams across the organization to consolidate definitions and derive metrics.
Create and maintain documentation for all of the above.
Communicate data to stakeholders with the goal of allowing data driven decision making.

We are seeking a highly skilled and experienced Senior Software Developer to join our team. As a Senior Software Developer, you will be responsible for designing, developing,
and maintaining the backend components of our software applications.
**Working in a hybrid model! ( two days from the office, three days from home. )**
Responsibilities:
Designing and developing SaaS application from concept to deployment.
Collaborating with cross-functional teams to gather requirements and define project objectives.
Developing efficient and reliable backend systems using Java, and other related technologies.
Design and implement efficient, reusable, and scalable backend and frontend features
Optimizing application performance and ensuring scalability and reliability.
Creating and maintaining databases, writing efficient queries, and ensuring data integrity.
Collaborating with other developers and teams, participating in code reviews to maintain code quality and best practices.
Leading and contributing to proof-of-concept initiatives focused on artificial intelligence applications, demonstrating the feasibility and value of AI solutions for business challenges.
Practicing in modern AI driven development methodologies
Staying up to date with emerging technologies and trends in software development.

We are looking for a highly skilled and versatile ML Data Analyst to join our growing BI & Analytics team. This hybrid role combines business intelligence development, data analysis, and machine learning ideal for someone who thrives at the intersection of data, technology, and business strategy.

Responsibilities:
Lead complex, end-to-end analytical projects, collaborating with stakeholders across Marketing, Sales, Product, Finance, and other teams.
Design and develop BI dashboards and reports, including business funnels and KPI tracking, to support data-driven decision-making.
Analyze business data to uncover actionable insights and drive strategic initiatives.
Develop and deploy machine learning models to support forecasting, segmentation, and other business use cases.
Communicate findings and recommendations to influence strategic decisions across the organization.

Were seeking a visionary and technically hands-on AI Lead to join us and take charge of driving innovation across our core AI systems. As the AI Lead, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

We're looking for a sharp Senior Fullstack Developer to join our growing web application team. In this role, youll be at the heart of building our dual-core technology: autonomous AI agents and a next-generation video generation platform. Youll help design and implement the infrastructure, APIs, and features that power intelligent decision-making and creative performance enabling brands to create smarter, better-performing content at scale.
What Youll Do?
Design, build, and maintain core components of our full-stack AI video platform from backend services to polished UIs.
Build APIs and services that allow our AI agents to analyze, optimize, and generate content autonomously.
Ensure the stability, quality, and performance of our production systems through robust testing, monitoring, and documentation.
Work closely with AI and video engineers to integrate complex backend logic with frontend experiences.
Take ownership of features from design to deployment in a fast-moving environment with high standards.
Actively participate in technical decision-making, architecture discussions, and team knowledge-sharing.

The ERP Team is looking for an experienced Oracle EBS / Fusion Cloud Integration Developer.
Youll be joining the global ERP team which is responsible for leading the operational enterprise information systems.
Responsibilities
What will you be doing:
Architect and develop robust integrations and extensions between Oracle Fusion Cloud modules (ERP, HCM, SCM) and external third-party applications
Leverage Oracle Integration Cloud (OIC), SOA, REST/SOAP APIs, and Business Intelligence Publisher (BIP) for seamless data exchange and process automation
Create sophisticated extensions using Visual Builder Studio (VBS) and Application Composer to enhance Oracle's standard functionalities
Develop, optimize, and troubleshoot complex FBDI, OTBI, and BIP reporting solutions
Design and implement custom workflows, approval processes, and UI customizations within Oracle Cloud ecosystem
Collaborate closely with functional teams to translate business requirements into innovative technical solutions
Ensure rigorous data security, regulatory compliance, and performance optimization in integration architectures
Provide comprehensive technical support, advanced debugging, and detailed documentation for developed integrations and extensions
Continuously monitor and implement Oracle Cloud updates and industry best practices in development and deployment methodologies.

The Staff Architect is a hands-on position on our Architecture team. Our team reports directly to the CTO.
You will work closely with the product and engineering teams based in Tel Aviv to help shape the technical solutions they build and make sure they meet the design goals. You will guide and collaborate with talented, curious, and highly motivated engineers as well as senior engineering and product leadership to achieve this.
As part of the Architecture team, you will also help shape the broader engineering platforms that our global engineering teams build on top of. This includes our developer experience, infrastructure, data, API and UI platforms.5
What youll do:
Architect, design, and build distributed systems processing and applying business logic for Big Data workloads, serving thousands of clients, and supporting advanced analytics.
Collaborate with multiple cross-disciplinary teams and provide technical leadership, guidance, and coaching to engineers through brainstorming sessions, design reviews, and pair-programming.
Act as a technology trailblazer - evaluate new technologies, frameworks, tools, and methodologies, conduct PoCs, and make recommendations to engineering management. Spread the knowledge by training the engineering staff.
Build scalable and high-quality code, including constantly reviewing developers code, looking for design breaches, providing meaningful and relevant feedback to developers, and staying up-to-date with system changes.
Define and advocate for technical standards of CI/CD, quality, monitoring, security, modifiability, extensibility, and maintainability of our systems.
Take data-driven decisions based on extensive data analysis using advanced SQL methodologies.
Facilitate the creation of documentation, flow charts, and diagrams that record systems behavior, data flows, etc., to serve as a reference for new team members, auditors, etc.
Communicate and partner with technical and non-technical teams.

As a Data Engineer Tech Lead, you will play a central role in shaping our data strategy and guiding the team in building and optimizing analytics data pipelines that power business decisions across the organization. Beyond driving complex data initiatives, youll be a hands-on mentor and technical advisor, supporting other data engineers, fostering a culture of collaboration, and ensuring the teams overall growth and success.
Key Responsibilities:
Lead and mentor a team of data engineers, providing technical guidance, support, and regular feedback to enable their growth.
Architect, design, and evolve robust, scalable data pipelines and ETL/ELT processes for diverse structured and unstructured data sources.
Serve as a technical advisor for data best practices across the organization, collaborating with data analysts, data scientists, engineers, and product managers.
Define and evolve analytics-focused data models that empower business stakeholders with timely and reliable data.
Drive initiatives to improve data quality, governance, and observability across the analytics stack.
Act as a bridge between technical and non-technical stakeholders, helping translate business needs into actionable data solutions.
Champion engineering excellence, including code reviews, documentation, and knowledge-sharing.
What your day might look like:
Leading the most complicated data projects our company has to offer Hands on
Supporting other engineers by reviewing code, troubleshooting architecture, and encouraging best practices.
Leading the technical direction of new pipelines or data modeling initiatives.
Meeting with product managers and analysts to align on priorities and define the right data solutions.
Guiding your team through design discussions, trade-offs, and implementation decisions.
Helping the team deliver with high reliability, scalability, and speed.
Driving initiatives that improve the maintainability, observability, and impact of the data platform.

Required Data Infra Tech Lead
A day in the life and how youll make an impact:
Were seeking an experienced and skilled Data Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure. As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

We are looking for a Data Platform Engineer.
In this role, you will be responsible for building data infrastructure for performance analysis, tuning, and analysis of a new analytics product. As a member of our Data Performance team, you will collaborate closely with other SW & HW Engineers to improve the performance of our new cutting-edge APUs. You will collaborate with our business leaders and participate in the product design and implementation. You will evaluate, implement, and integrate a diverse set of tools and technologies such as Spark, Comet, Velox, Dagster, Hardware emulators and software simulators.
Responsibilities:
Join a multi-disciplinary team of experts operating at the foundation of data infrastructure stack
Build a robust data benchmarking infrastrucure
Develop in-house measurements and ETL tools
Conduct detailed performance analysis and characterization
Research state-of-the-art benchmarks and techniques for SQL and data optimization

We are a top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented data analyst that is passionate about elevating trust and customer protection and looking for your next challenge we want you to join our team!
What You'll Do:
Learn, maintain and improve our fraud detection process
Be an escalation point for investigations of customers and suggest optimization activities to improve their performance
Identify, analyze and visualize data trends and translate them into actionable business insights
Manage fraud cases while acting as the main point of contact with stakeholders across the company
Develop and automate reports, dashboards, notebooks and pipelines to provide insights at scale, solving for analytical needs
Work closely with Product and Analytic teams to support decision making as part of new features rollout