לוח משרות דרושים איש ביג דאטה Big Data עבודה היברידית

Our Data Engineers are responsible for building and operating the data systems to deliver value to the end users and to internal users, by expanding and optimizing the data pipelines and data services, ensuring data integrity and driving a data-driven culture. In addition, you will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. This is an amazing opportunity to get into on the ground floor and have a direct hand in designing our companys data architecture to support our first generation of products and data initiatives.

Our ideal candidate is experienced with data pipeline builders and data wranglers, and someone who enjoys optimizing data systems and building them from the ground up. Must be self-directed and comfortable supporting the data needs of multiple teams, systems and products and comfortable working in a fast-paced and often pivoting environment.

Responsibilities
* Build and maintain our data repositories with timely and quality data
* Build and maintain data pipelines from internal databases and SaaS applications
* Create and maintain architecture and systems documentation
* Write maintainable, performant code
* Implement the DevOps, DataOps and FinOps philosophy in everything you do
* Collaborate with Data Analysts and Data Scientists to drive efficiencies for their work
* Collaborate with other functions to ensure data needs are addressed
* Constantly search for automation opportunities
* Constantly improve product quality, security, and performance
* Desire to continually keep up with advancements in data engineering practices

We are looking for excellent Customer Oriented and analytical people who are eager to work in a dynamic environment, have very good personal engagement skills, will never take no for an answer, are good at gathering and processing data and have the ability to improve and help grow our business globally.
If you are up to the challenge, this is the job for you.
Responsibilities:
Responsibility for activities related to the onboarding of international entities to our platform.
Independent management and execution of core customer related processes involving multiple tools, automation and control.
Integrating and cross-referencing data from multiple systems and sources. Conducting online research.
Working independently with other groups in the company as well as external entities, including global customers and suppliers.
Contribute to ongoing process improvement, leveraging international data sources and technological solutions.

We are looking for a Senior Data Engineer.
In your role as a Senior Data Engineer, you will manage large volumes of data and contribute to critical projects such as the single source of truth, Data Catalog, and Data Platform. Join our team at Viber and help us enhance our data-driven solutions.
Responsibilities:
Lead the designing, building, and maintaining of the organizations data architecture
Contribute to initiatives such as the implementation of a single source of truth, Data Catalog, and Data Platform
Manage large volumes of data, including real-time streaming of petabytes of data from hundreds of millions of users
Collaborate with different teams to ensure the efficiency and accuracy of data solutions
Oversee the overall management of the data platform.

We are looking for strong and motivated Senior SRE to help us continue driving the Azure Data Explorer / Synapse Real Time Analytics revolution and make it THE technology for log search and text analytics across as well as providing value to our external customers.
Responsibilities:
As a Senior SRE in Kusto your primary responsibilities will be:
Live Site Management  Almost all the company come to rely on Azure Data Explorer (Kusto) for keeping their business running. This fuels a lot of passion in our team to keep the systems working at high availability and performance.  
As a Senior Service Engineer, you will be part of a global team driving huge scale live sites 24X7 (with follow the Sun model) and is passionate to deliver the best service within as well as to external customers 
Customer Focus our core value is Customer First. We in Kusto take pride in that and bring unwavering customer focus and support to help our customers utilize, embedded and build deep solutions on top of Kusto tailored to their needs. 
Automation As Kusto scale is huge and is expected to keep growing rapidly, we are committed to delivering automation and tooling to improve our live site management and adhere to scale without scale methodology.   
Design - Evaluate and contribute to product, service design and architecture, help shape Site Reliability Engineering strategies, review specifications, design and improve upon core processes.  
Observability - Identify system problems and recommend monitoring solutions & automation to improve processing efficiency and stability.  
Continuous integration/deployment - Implement/maintain and operate the build and release pipelines allowing our developers to safely code/test and deploy our products in very large scale.
Provide engineering design across different workloads including incident & problem management, change management, security and compliance.  
Community Building - Help us build and contribute to an exciting Azure Data explorer community.

As the Vice President of Data , you will hold a critical leadership position responsible for driving strategic decisions through advanced quantitative analysis and data Science. Your expertise will be instrumental in cross-departmental collaboration with product marketing, customer service, and operations teams to ensure alignment and synergy across all areas of the business.



Responsibilities:



Lead and mentor multiple teams of Analysts, Data Scientists and Data Engineers.
Initiate & manage cutting-edge projects from ideation to delivery, including developing automated solutions.
Evaluate and improve the companys KPIs through data.
Collaborate closely with Stakeholders from Product, Marketing, Operations, Customer support and Finance and initiate data driven decisions and solutions.
Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.