דרושים » תוכנה » Senior NetSuite & Oracle Developer

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.

We are looking for a Business Analyst Marketing Cloud.
The Salesforce Marketing Cloud / Marketing Services business analyst reviews and evaluates business systems, processes, and requirements to design, implement, and enhance marketing automation systems that meet overall client business objectives.
The business analyst is responsible for leading workshops, overseeing configuration of the system, and managing relationships with customers and internal stakeholders. He/she can lead a workstream for large projects and guide the work of the supporting team.
The BA should act as a strategic advisor to help clients get the most value out of their marketing automation system and their consulting engagement.
Responsibilities:
Engage with clients to assess their current sales and marketing landscape and processes and distill business requirements/user stories.
Lead onsite client workshops to share marketing automation framework, best practices, and case studies.
Work with clients to shape marketing automation strategy and define and scope projects to address specific needs.
Guide marketing automation administration, configuration, migration, campaign execution, and testing activities.
Manage agile business executives and work with them to successfully complete the program.
Mentors other consultants and business analysts throughout the project.
Supports the project manager in identifying and mitigating risk and resolving issues.
Keep up-to-date on latest industry trends and research to share with clients and to continually optimize their marketing automation strategy.

We are looking a highly skilled and motivated Senior Data Engineer to join our dynamic team.
The ideal candidate will be a great team player that can lead and also be responsible for designing, developing, and maintaining robust data pipelines and analytical solutions to support our business objectives.
This role requires a blend of engineering and analytical skills to ensure data integrity, optimize data workflows, and provide actionable insights.
This role requires a deep understanding of financial data, system integration, and analytics to support strategic decision-making and regulatory compliance.
Your Day-to-Day:
Design, develop, and maintain scalable data pipelines and ETL processes.
Collaborate with product, analysts, and other stakeholders to understand data requirements and translate business needs into technical requirements.
Ensure data quality and integrity across various data sources.
Develop, maintain and own data models, schemas, and documentation.
Optimize database performance and troubleshoot issues.
Stay updated with the latest industry trends and best practices in data engineering and analytics.

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 a business orientation.
It involves working closely with the analysts, product, and the R&D team and directly affecting the company's cross-department decisions.
Our Data Engineer should be able to design and build a data flow from the API or source requirements with the most suitable tools to fit the data product requirements.
They need to speak in technical and practical terms and, more importantly, lead from one to the other while dealing with challenges, independent learning, and creating them to make our team even better.
Roles and Responsibilities:
Designing and building full data pipelines: From defining source structures to delivering clean, organized data ready for analysis, your work ensures analysts have everything they need to make smart, data-driven decisions
Translating business needs into scalable data solutions involves staying close to the roadmap, understanding technical nuances, and delivering purpose-built pipelines and tools
Writing high-quality, maintainable code: Following best practices while leveraging modern data engineering tooling and CI/CD principles
Solving complex data challenges creatively: Whether it's device identity (Device Graph), online-to-offline matching, privacy compliance, or server-to-server integrations
Managing multi-source data environments: We bring in data from over 50 sources (Marketing, Product, CS, CRM, Ops, and more), and you will assist in tying it all together into a reliable, insight-ready system
Keeping quality and reliability top of mind: Monitor, validate, and improve data quality while ensuring robust processes across the stack

we are looking for a Senior Principal Cloud FinOps Analyst to join its Israeli site as Cloud Infrastructure FinOps. Were looking for a person to lead the financial operations within our innovative SaaS cybersecurity product environment. This role demands a blend of business acumen and technical expertise, as you will be responsible for optimizing cloud costs and driving financial accountability in close alignment with our engineering and finance teams.
You must be equally adept at crafting and delivering clear and compelling analyses and recommendations to executives on cost growth projections and optimizations, as much as being hands on and developing the tools and capabilities to do rapid analysis of cost drivers.
Your Impact
Develop and implement strategies for cost optimization and financial efficiency in our cloud infrastructure
Work closely with engineering, product management, and DevOps teams to align financial operations with business objectives
Oversee the financial aspects of our large-scale GCP cloud service, ensuring optimal expenditure.
Develop and monitor critical success metrics, and communicate actionable insights
Lead the integration of financial considerations into the development lifecycle, establishing cost-related metrics and accountability
Developing tools and capabilities to track and analyze detailed cloud hosting costs and gross margin trends by customers to identify and recommend areas of opportunity to improve margins
Create comprehensive financial reports and dashboards for various stakeholders, including senior management, highlighting key financial metrics and insights
Drive initiatives for automating financial reporting and cost optimization
Collaborate with cross-functional teams to ensure a balance between cost efficiency and technological innovation and improve product architecture in a way that will help identify the drivers of the various costs components.

Realize your potential by joining the leading performance-driven advertising company!
As a Staff Algo Data Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff Algo Data Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

we are looking for NetSuite Logistic Consultant to join our growing team!
the world's largest and leading implementer of ERP platforms, is expanding its local and global activities in the field of NetSuite .
Joining our NetSuite practice is an opportunity to take part in the most interesting project in Israel and abroad, and to grow professionally in the most dynamic field today.
What you Will do:
Take part in end-to-end projects, including process characterization, implementation, QA, maintenance and configuration.
Work with various departments in the company, provide service and information to system users, and support users during and after airing.

we are seeking a strategic and data-driven Business Data Analyst to join our team!
In this role, you will play a key part in analyzing business performance, customer acquisition, and go-to-market strategies.
You will explore various data sources, develop key performance metrics, and identify opportunities to optimize our market penetration and customer engagement initiatives. Your insights will support strategic decision-making and help drive growth across marketing functions.
You will leverage your analytical expertise to deliver actionable insights that influence our business strategies and performance.
Responsibilities:
Develop a deep understanding of data models related to customer acquisition, marketing funnel, new products launches, revenue, and overall business performance.
Design and implement new data models, KPIs, and predictive analytics to support go-to-market and strategic initiatives.
Build, maintain, and monitor reports, dashboards, and metrics to track business health and growth targets.
Analyze data to identify trends, opportunities, and risks across customer segments and market channels.
Communicate insights and strategic recommendations to executive leadership and cross-functional teams.
Collaborate with stakeholders to align data initiatives with business objectives and become a trusted analytics partner.