לוח משרות דרושים איש ביג דאטה Big Data בתל אביב יפו

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 a worker in Data Tagging.
RESPONSIBILITIES:
Manually tag objects in images with high accuracy and consistency.
Review and verify the accuracy of tagged data, making corrections as needed.
Work with predefined tagging guidelines and contribute to their improvement.
Collaborate with the machine learning team to understand tagging requirements and deliver datasets that meet project specifications

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 .

As a Senior Big Data Engineer, working within our Foundation Entity Group, you will play a pivotal role in designing, developing, and maintaining the data infrastructure that powers our location analytics platform.
RESPONSIBILITIES:
Data Pipeline Architecture and Development: Design, build, and optimize robust and scalable data pipelines to process, transform, and integrate large volumes of data from various sources into our analytics platform.
Data Quality Assurance: Implement data validation, cleansing, and enrichment techniques to ensure high-quality and consistent data across the platform.
Performance Optimization: Identify performance bottlenecks and optimize data processing and storage mechanisms to enhance overall system performance and reduce latency.
Cloud Infrastructure: Work extensively with cloud-based technologies (GCP), to design and manage scalable data infrastructure.
Collaboration: Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product Managers, and Software Engineers to understand requirements and deliver solutions that meet business needs.
Data Governance: Implement and enforce data governance practices, ensuring compliance with relevant regulations and best practices related to data privacy and security.
Monitoring and Maintenance: Monitor the health and performance of data pipelines, troubleshoot issues, and ensure high availability of data infrastructure.
Mentorship: Provide technical guidance and mentorship to junior data engineers, fostering a culture of learning and growth within the team

We are looking for a Senior Data Engineer.
What Youll Do:
Create new data solutions, maintain existing and be a focal point for all technical aspects of our data activity. You will develop advanced data and analytics to support our analysts and production with validated and reliable data. The ideal candidate is a hands-on professional with strong knowledge of data pipelines, and an ability to translate business needs into flawless data flow.
Create ELT/Streaming processes and SQL queries to bring data to/from the data warehouse and other data sources.
Own the data lake pipelines, maintenance, improvements, and schema.
Create new features from scratch, enhance existing features, and optimize existing functionality.
Collaborate with various stakeholders across the company, like data developers, analysts, data science, etc., to deliver team tasks. Work closely with all business units and engineering teams to develop a long-term data platform architecture strategy.
Implement new tools and development approaches.
Ensure adherence to coding best practices and development of reusable code
Constantly monitor data platform and make recommendations to enhance system architecture On both ETL\ELT and real-time pipelines

We are seeking a talented and experienced engineer who is passionate about building and optimizing streaming platforms to join our elite team. If you thrive in a fast-paced environment and are eager to tackle complex challenges, we want to hear from you. Responsibilities include
Develop and Maintain Streaming Infrastructure: Design and support a global streaming platform, creating software libraries that streamline development and ensure reliability and observability for thousands of services.
Automate Deployment and Operation: Oversee the automated deployment and operation of numerous Kafka and RabbitMQ clusters, adhering to various deployment constraints to support our backend services.
Monitor and Support Production Systems: Manage global Kafka clusters, provide on-call production support, and assist in troubleshooting and incident resolution.
Improve Infrastructure Observability: Develop monitoring tools, enhance alerting systems, and help developers better monitor and understand their streaming applications.
Optimize System Performance: Conduct research, build proofs of concept, and perform benchmark tests to identify and implement technology improvements.
Provide Developer Support and Training: Guide developers on best practices, create documentation and conduct workshops to ensure efficient use of the infrastructure.

As a Data Analyst in the R&D group you will be deeply involved in development core mechanisms, providing measurements and dashboards to facilitate data driven product and development decisions, getting a deep understanding of products and a close acquaintance with new data features and involvement in their enrollment. You will also be involved in research and explorations of new Integrations, dealing with uncertainty, constantly facing unfamiliar technologies.

In this role, you will need to know how to look for and utilize the small details in order to create the big picture, derive conclusions and provide data based recommendations. You will be working closely with multiple counterparts as part of a team. Love for raw data is also necessary, along with a keen sense of curiosity and eagerness to constantly learn.

Responsibilities include:

Provide complex data analysis to facilitate feature development and product decisions
Identify data issues that require special attention
Identify and fix data inconsistencies
Research and explorations of diverse APIs
A team player who understands that the only way to solve large problems is with teamwork and collaboration

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.