לוח משרות דרושים איש ביג דאטה Big Data עבודה היברידית

We are looking for a Production and Development DBA to join our fast-Data Platform Team. Reporting to Data Platform Team Leader, you will be supporting the team on daily operations and development for critical missions, and enterprise database systems in SQL Server, Singlestore, and MongoDB.
Responsibilities:
Responsible for managing and supporting SQL Server, Singlestore, and MongoDB.
Install, configure, and maintain Database Servers, including monitoring the health of SQL instances and performance.
Support the development team in optimizing queries, and software deployment and contribute to database design and development.
Responsible for all administration activities like backup, recovery, index, replication, health check-up, etc.
Join the on-call duty, shifts routine, and solve critical database issues
Monitor databases to optimize database performance and diagnose issues
Work with development and operations teams to tune production queries for optimal performance
Provide technical support for database environments/applications, including software installation, database creation, upgrades, patches, et

We are looking for an engineer who will work with multiple technologies stack: Kafka (Azure Event Hub), Kubernetes, Function Apps, Azure Data Explorer, MongoDB, etc.

Using several coding languages like Golang, NodeJS (TypeScript), and Python.

We are required to write efficient code that supports large-scale distributed systems.


Key Responsibilities
Design and build new solutions/features to help our customers improve their cloud security.
Get experience with new technologies and languages, develop challenging solutions, and have a great opportunity to grow and create impact.
Constantly Improve existing implementations.
Adapt and take on more responsibilities and own your share of the product.
Work with product managers, business, and other teams .

We are looking for a Java Backend Developer to be part of our core technology team.
This position is full-time, hybrid, in our offices in Herzliya.

As a Technical Account Manager you will be in charge of our customers' related operations.
You will be responsible for onboarding customers, driving for quick time to value (the time it gets to generate revenues after the onboarding project is done). You will also be taking care of the customers' satisfaction, aligning goals through hard KPIs and projecting revenue growth.
You will manage the technical implementation of our API and handle change management processes that tighten the connection between our and our customers' products.
You will focus on execution of methodologies and processes to track and maintain the company's revenue goals while being the voice of the customer internally in order to push their requirements to the hands of our Product and RnD departments.
RESPONSIBILITIES
Manage customer projects through the various phases of (i) API deployment / integration, (ii) Proof-of-Concept if any, (iii) onboarding, (iv) Go Live and (v) ongoing support.
Demonstrate customer value through rapid and full implementation of the nSure.ai product by our customers.
Contribute to Company revenue by driving the shortest possible customer time-to-value, during the sales cycle and post-contract.
Partner with the Engineering, Fraud, and Data teams to promote customer feedback and continual improvement of our product.
Manage and track change management processes of our technical products (namely sever-to-server API deployments), both internally in a clear manner with other departments, and externally to our customers.
Handle a day to day communication with our customers, mainly their technical resources, but business stakeholders as well

The Data sourcing expert will be responsible for gathering and providing actionable insights from a wide array of sources, including open sources (OSINT), dark web, and various forums.
This role focuses on the continuous acquisition and curation of data that is crucial for understanding the landscape of fraudulent activities and supporting our fraud prevention strategies.
If you are passionate about data and love working in a dynamic, fast-paced team, your place is with us!
RESPONSIBILITIES:
Collect data from open sources, dark web, and forums to support fraud detection efforts.
Monitor and document discussions, transactions, and activities relevant to fraud.
Use scraping tools and techniques to automate data collection from various sources.
Work closely with research analysts to provide them with relevant and timely data.
Maintain a database of collected data ensuring it is accurate, up-to-date, and accessible.
Adhere to ethical and legal standards in all data collection activities.

We are looking for a highly motivated and passionate Advanced Analytics & AI Specialist to drive high priority customer initiatives on the Azure Platform in collaboration with customers and the field in Enterprise accounts segment of our business. This is a customer facing role, owning overall technical relationship between customer and Data, Advanced Analytics and Artificial Intelligence Platform.

You will own the Data Platform & Advanced Analytics technical customer engagements including envisioning, specific implementation projects and/or MVPs. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers to drive Data Platform and Advanced Analytics solutions to productions.
Responsibilities
Key responsibilities include:

Understand customers overall data & analytics estate, business use-cases, priorities and success measures to design implementation architectures and solutions.
Apply technical knowledge to architect solutions that meet business and analytics needs, create Data Platform, Data Migration Strategy, Analytics and AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate (e.g. SQL Server, Azure Synapse, Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Power BI, etc.)
Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment
Develop deep relationships with key customer IT decision makers and relevant business decision makers, who drive long-term cloud adoption within their company to enable them to be cloud advocates
Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers
Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.
Collaborate with other Cloud Solution Architects and MS stakeholders in developing complex end-to-end Enterprise solutions on Cloud platforms.
Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform
Be an Azure Platform evangelist with customers, partners and external communities.