לוח משרות דרושים איש ביג דאטה Big Data

For well-funded start-up, we are looking for Senior data Scientist Responsibility Develop large-scale ata science models Work together with the R&D team to d Partner with product managers Help build a methodology for designing and evaluating experiments

one of the world's fastest-growing mobile game companies, providing entertainment to millions of active users across the universe. The company is headquartered in the heart of Tel Aviv.

We're looking for a talented and experienced Data Engineer to work on our massive data processing and help us deliver more insights from our tens of billions of events.

Responsibilities
Design, Develop and implement robust and scalable data solutions to support and improve data processes
Data Infrastructure management - build, maintain, architecture design (deployment, git, clusters, connection, docker, airflow)
Integrate with various of external data sources through APIs and implement end-to-end data pipelines & ETLs
Optimize workloads to reduce cost and improve performance
Own the data Understand the data behavior include business knowledge, methodology and architecture
Evaluate, Implement and support new BI technologies

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.

A successful BI Data Engineer / Data Modeler will create new data solutions while supporting and enhancing existing ones.
Youll design, develop, and implement business requirements into actionable insights that will serve multiple stakeholders in the organization.
This position offers an opportunity to build insightful data solutions in a rich data environment over big data technologies.
Create real value from data and communicate it to the different stakeholders.
Manage a data structure & model, which supports and reflects the actual business model.
Own and manage multiple BI initiatives and projects both on an ongoing and an ad-hoc basis.
Design, build, and test end-to-end Data models, Data flows, and data enrichment processes.
Become a focal point for all data-related matters in the organization.

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 an experienced Data Product Manager to work in our Data Product team within the mobile division. As a Data Product Manager you will be responsible for finding ways to leverage data flow throughout an entire product lifecycle and use that data to build and perfect a feature or product. You will be responsible to balance the strategy, governance, and implementation of anything data-related, and facilitate the conversations between all impacted stakeholders (executives, engineers, analysts, other product teams and other data consumers).

What you'll be doing
Define data flow
Enhance existing data product (Bi Portal, Aggregated data and other data products)
Translate requirements of large data initiatives into smaller actionable items
Increase data accessibility (surface data where people need it when they need it) and data democratization (make it easier for people to manipulate the data)
Key member in major projects (from kickoff until handover to business *from a product/tech perspective)

We are looking for an experienced QA Engineer, who will join our team!
Your Impact:
You will be responsible for the quality of a product that applies the power of XDR to solve the challenges of data ingestion, storage, and stream processing, with a focus on ensuring reliability and efficiency for SOC teams
Be the QA owner of relevant user stories, from inception to delivery inside a development team
Work closely with teams of expert engineers, security researchers, and product managers to solve complex problems
Execute QA cycles on a tight release schedule
Gain a deep understanding of all major data ingestion and storage infrastructures
Learn about data processing solutions and technologies
Debug failures in complex environments.

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.

We are searching for an innovative and experienced Senior Big Data Engineer that will join us and be part of our big data group.

As a Senior Big Data Engineer, you will:
Lead the architecture and development of mission-critical, diverse and large-scale data pipelines over both public and on-prem cloud solutions.
Derive policies for data storage and versioning over peta-bytes scale complex storage solutions of multiple data lakes.
Design and develop smart ML infrastructure in order to build Agile ML processes (MLOps).
Work with Data Scientists to understand needs and design ML infrastructure solutions
Be a part of a collaborative heterogeneous data team which includes developers, data scientists, data engineers, MLOps and data scouts.

We are looking for a senior developer to join a new big-data analytics team as part of our data platform.
The autonomous vehicle project generates huge amounts of data and our challenge is to enable it for usage by the entire organization (Deep Learning /Machine Learning Developers, Product Managers, Analysts, and more.)
We are using a top-notch tech stack to solve problems multiple databases and big data frameworks, data streaming, AWS infrastructure on a large scale, and many more.
What will your job look like:
Work on a large-scale system from early stages and watch it evolve
Take part in the design & development of a multi-service cloud-based big data platform
Evaluate various optional technologies and take part in the decision-making
Own key features and services.

We are looking for a Principal Backend Engineer to join our Cortex XDR team and help us to prevent, detect and respond to all runs on an integrated endpoint, network and cloud data reduce the noise and focus on real threats.
More information about the Cortex XDR product can be found here.
Your Impact:
You will be a part of a group with the mentality and independence of a startup, supported by the power of a successful corporation - You will design and build an infrastructure that supports billions of events per second, storing, processing and making them accessible and visible to the user while collaborating with the industrys leading cyber products
You will be responsible for the complete software development life cycle including requirement analysis, design, development, deployment, and support - You will write clean, testable, readable, fast and maintainable code that is efficient and scalable