דרושים » תוכנה » Backend Engineer - Data Pipeline

We are looking for a Senior Data Engineer specializing in data stream processing, to help us grow and scale our data analysis platform. We have been growing rapidly over the last year, and were looking for someone to help us create the next generation of our platform that will allow us to handle a growing customer base and workload. You will have a key part in designing and implementing core elements of our data pipeline.



What you will be dealing with:

Build real-time data processing pipelines to discover medical devices, risks, and anomalies
Optimize and scale our data pipelines to help us handle a growing customer base
Design our data models for optimal storage and processing
Architect, design, and implement scalable and robust data solutions
Evaluate and recommend appropriate tools and technologies to support data infrastructure
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements
End-to-end ownership of features, from inception to deployment

applying its data expertise to security, enabling companies to better understand and manage risk. We have both a rich data platform and security modules that tap into the platform to provide immediate benefits to our customers. We have built and patented a Data Fabric for Security. It curates data from hundreds of security and business tools and contextualizes that data to help companies understand and address their riskiest problems. Our Unified Vulnerability Management module is our first module to tap into the power of our data fabric, enabling companies to create custom contextualized risk scores and tailored workflows to reduce risk. If youre passionate about data models and helping companies improve their security posture, wed love to have your talents here at as we work to make the world a more secure place.
We are seeking a Java Backend Engineer to join our team. In this role, you will play a crucial role in designing, developing, and maintaining the backend systems that power our cutting-edge applications and services that help our customers manage huge amounts of their security data.
Responsibilities:
Develop and maintain high-quality, scalable backend services within a microservices architecture using Java /Spring Boot and Python
Participate in design from scratch to production
Deliver high quality features for our high-scale web environment
Monitor the performance and cost of the services in production
Stay up-to-date with industry trends and best practices to continuously improve our technology stack and development processes
Integrate with other team members (backend/frontend/product/UX)
Mentor junior engineers and share your expertise with the team

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll join our data engineering team, working alongside AI engineers, data scientists, backend engineers, analysts, and the BI team.
In this crucial role, you will take part in building our next-generation data platform that will advance us as a data-driven company.
Youll collaborate with different departments to identify data sources that shed light on every aspect of our product, including user behavior, new feature adoption, operational, financial, marketing KPIs, and more.
You will work with cutting-edge technologies and address the business needs of other department members, based on an in-depth understanding of our business and landscape.
Responsibilities:
End-to-end development of company data infrastructure
Build and design high-performance, near real-time ETL/ELT processes incorporating current and new data stack tools such as Airflow, AWS, Kubernetes, Databricks, dbt, Spark, and Kafka.
Build and design data platform components to enable clients to produce and consume data
Develop, implement, and maintain change control, testing processes, and monitoring infrastructure
Build and design self-serve components that can speed up the development cycle and time to market
Research and implement best practices and new approaches to our current data stack and systems
Deliver software solutions through iterative and agile processes while maintaining software quality and stability to current systems

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 seeking an experienced and skilled Senior Backend Developer with a proven track record of more than 3 years in core banking with an emphasis on balance and ledger systems.
As a Senior Backend Developer, you will play a key role in designing, implementing, and maintaining the backend systems that power our core banking infrastructure.
Your expertise in core banking operations, balance management, and ledger systems will be crucial in ensuring the reliability, security, and scalability of our financial services.
Responsibilities:
Backend System Development:
Design, develop, and maintain scalable and efficient backend systems for core banking operations
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Core Banking Expertise:
Leverage your in-depth knowledge of core banking processes to enhance and optimize existing systems
Stay updated on industry trends and best practices related to core banking technologies
Balance and Ledger Management:
Develop and implement solutions for real-time balance tracking and ledger management
Ensure accuracy, consistency, and integrity of financial data across the system
Database Management:
Design and optimize database schemas for efficient storage and retrieval of financial data
Implement data security measures to protect sensitive financial information
Performance Optimization:
Identify and address performance bottlenecks in the backend systems to ensure optimal system responsiveness
Collaboration and Communication:
Collaborate with front-end developers, QA engineers, and other team members to deliver high-quality software solutions
Communicate effectively with stakeholders to gather requirements and provide project updates
Code Review and Mentorship:
Conduct code reviews to ensure code quality, adherence to coding standards, and best practices
Mentor junior developers and contribute to their professional growth
Troubleshooting and Support:
Investigate and resolve backend-related issues in a timely manner
Provide support for production systems and participate in an on-call rotation

We are looking for a Full Stack Developer with Machine Learning Experience to join our A2A (Algorithm 2 Application) team in the data science group.
As a Full stack in this team, you will play a key role in taking complex machine learning models and connecting them to a working app using Full-stack Python abilities.
This role is ideal for a skilled and experienced individual passionate about software development, machine learning, and MLOps.

We seek a customer-focused Technical Support Engineer to join our dynamic support team.
As a Technical Support Engineer, you will provide exceptional technical assistance and troubleshooting to our clients, ensuring their seamless experience with our platform. Your expertise and dedication will be crucial in driving customer satisfaction and loyalty.
In this role you will:
Develop a deep understanding of our data integration platform, staying up-to-date with new features and enhancements
Deliver timely and effective technical support via various channels, including ticketing system and online meetings, addressing inquiries, issues, and concerns promptly and professionally.
Investigate and resolve technical problems reported by clients, escalating complex issues to the appropriate teams for resolution.
Collaborate closely with cross-functional teams, including product development and engineering, to ensure prompt issue resolution and continuous product improvement.
Assist in conducting product training sessions for clients, empowering them to utilize our platform efficiently.
Accurately document support cases, tracking their progress from initiation to resolution and keeping clients informed throughout the process.
Contribute to the development and maintenance of our knowledge base, creating helpful articles and resources for self-service support.

Were looking for a talented GO/C++ Software Engineer to join our strategic core team.
This team is responsible for building Aquas cutting-edge endpoint security solutions for Containers, K8S, and Cloud Workloads.
You will be designing, developing, and supporting the core functionality that drives our technology and services.
Responsibilities:
Write code for Linux, K8S, containers, and Windows, while taking end to end ownership of features
Be an effective part in owning and supporting the teams services in multiple production environments
Build high-performance multi-threaded infrastructure for distributed systems
Optimize code to meet demanding performance constraints of time, memory, and storage, applying best practices for high quality design, code and tests
Play a significant part in the design and development of core and critical features
Collaborate with teams across the organization.

We are looking for an enthusiastic, experienced, and versatile full-stack engineer to take over multiple development responsibilities under the One group.
We are working with the most cutting-edge technologies, building a new and exciting cloud platform using mainly Golang, gRPC, Redis, PostgreSQL, Kubernetes, Docker and more.
How will you make an impact?
Designing and developing functional and/or technical capabilities within large scale products, making ongoing design decisions, and focusing on multiple product domains and technologies