דרושים » דאטה » Data Engineer

Join Our Team as a Senior Data Engineer at our company!
Job Summary:
We are seeking an experienced Senior Data Engineer to join our data engineering team. In this role, you will play a crucial part in designing, developing, and maintaining scalable data pipelines and infrastructure to support our AI department. This is an opportunity to work with cutting-edge technologies in a fast-paced production environment, driving impactful, data-driven solutions for the business.
Key Responsibilities:
Design, develop, and optimize ETL/ELT pipelines for large-scale data processing.
Work with a modern data stack, including Databricks (Spark, SQL), Apache Airflow, Azure services.
Troubleshoot and optimize queries and jobs for performance improvements.
Implement best practices for data governance, security, and monitoring.
Stay updated with industry trends and emerging technologies in data engineering.

We are seeking a highly skilled Senior Data Engineer to join our Data Group and help drive the development and optimization of our cutting-edge data infrastructure.
As a key member of the Platform team, you will play an instrumental role in building and evolving our feature store data pipeline, enabling machine learning teams to efficiently access and work with high-quality, real-time data at scale.
In this dynamic, fast-paced environment, you will collaborate with other data professionals to create robust, scalable data solutions. You will be responsible for architecting, designing, and implementing data pipelines that ensure reliable data ingestion, transformation, and storage, ultimately supporting the production of high-performance ML models.
We are looking for data-driven problem-solvers who thrive in ambiguous, fast-moving environments and are passionate about building data systems that empower teams to innovate and scale. We value independent thinkers with a strong sense of ownership, who can take challenges from concept to production while continuously improving our data infrastructure.
As a Data Engineer you will...
Design and implement large-scale batch & streaming data pipelines infrastructure
Build and optimize data workflows for maximum reliability and performance
Develop solutions for real-time data processing and analytics
Implement data consistency checks and quality assurance processes
Design and maintain state management systems for distributed data processing
Take a crucial role in building the group's engineering culture, tools, and methodologies
Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

We are looking for an experienced Data Engineer with expertise in cloud technologies, big data, and distributed systems to join our data engineering team.
This role requires the experience and skills to design and build key components and infrastructure for our global data teams (Data engineering, BI, Data science) with experience in designing, building, and maintaining streaming data pipelines and data lake architectures, together with hands-on expertise with technologies like Apache Spark, Kafka, and cloud-based data lake implementations.
As a Data Engineer you will
Build Infrastructure to empower our Engineers/Data Scientists/BI teams to work by best practices of data processing
Work in a high-volume production environment
Develop and manage ETL/ELT processes for structured and unstructured data
Collaborate with colleagues both locally and in remote locations
Influence the software architecture and working procedures for building data and analytics
Ensure data quality, integrity, and security within the data pipeline and data lake
Monitor, troubleshoot, and optimize data workflows to improve performance and reliability.

We are looking for a Data Engineering Lead to join our Platform Group. In this role, you will drive the development of scalable data pipelines and infrastructures that are crucial to our platforms success. You will collaborate across departments, and innovate to ensure our data ecosystem is robust, secure, and optimized for growth.
As a Data Engineering Lead you will...
Architect and develop data pipelines Lead the design and implementation of data pipelines that support our platform, ensuring high data quality, security, and governance. Introduce new tools and technologies to enhance data workflows and integration
Develop a strategic roadmap that outlines key engineering solutions to support our platforms scalability and performance, aligned with our overall vision and objectives
Collaborate across teams Work closely with internal teams including DevOps, BI, Product, and development groups to ensure seamless data integration and drive data-driven decision-making across the organization
Establish data guidelines and documentation Define best practices for data generation, consumption, and management within the platform. Create thorough documentation for all data processes to facilitate clear communication and future maintenance.

We seek an experienced SVP of Engineering to lead our R&D & Data teams and drive technological innovation. The SVP of Engineering owns the creation of a roadmap for design, development and operationalization of a high-quality data strategy, including data architecture, processes, and data quality framework - driven by the current and strategic operational and analytical business information needs organization-wide, and is based on formal concepts, principles, and techniques.



Responsibilities:

Lead Engineering and Data teams and take full responsibility for product development.
Develop and implement a technology strategy aligned with the company's vision.
Lead and optimize development processes, including Agile/Scrum methodologies.
Be responsible for making decisions on architecture, infrastructure, and development tools.
Collaborate closely with senior management and participate in strategic decisions.
Work closely with product and operations teams to create organizational synergy.
Manage technology budgets and resources while prioritizing projects.
Evaluate and implement appropriate data science tools, platforms, and technologies to streamline processes and enhance data-driven marketing capabilities.

Required Software Engineer
Description
We are at the forefront of blockchain and deep technology, creating cutting-edge solutions that scale Ethereum and Bitcoin, and unlock the potential of Web3. Our technology combines academic rigor with practical application, enabling the next generation of decentralized innovation. Join a team of the brightest minds pushing the boundaries of cryptographic proof systems and scalable blockchain infrastructure.
As a Software Engineer, you will design and develop complex, high-performance, high-quality, spanning across application logic, infrastructure and web.
Our system is built in a microservice architecture that interacts with external systems (such as our partners systems) and meets demanding performance, resilience, and requirements.
Our R&D department includes infrastructure, backend, and full-stack teams and uses diverse technologies like C++, Python, Rust, Node.js, and React.js.

As a Software Automatic Test Equipment Engineer, you will play a vital role in developing and maintaining advanced Automatic Test Equipment (ATE) software for electronic cards and calibration systems used in our cutting-edge Active Electronically Scanned Array (AESA) radar technology.
You will collaborate closely with a multidisciplinary team to ensure the functionality, accuracy, and performance of our ATE systems
Key Responsibilities:
ATE Software Development: Design, develop, test, and maintain software for Automatic Test Equipment used in electronic card testing and AESA radar calibration.
Integration: Collaborate with hardware engineers to integrate ATE software with testing equipment and devices, ensuring seamless operation.
Debugging and Troubleshooting: Identify and resolve software issues, system failures, and compatibility problems to ensure optimal ATE performance.
Documentation: Maintain accurate and up-to-date documentation.
Quality Assurance: Implement quality control measures to ensure that ATE software meets industry standards and complies with project requirements.
Team Collaboration: Work closely with cross-functional teams, including hardware engineers, software developers, and project managers, to meet project milestones and objectives.
Continuous Improvement: Stay up-to-date with industry trends and emerging technologies, and contribute to the ongoing improvement of ATE software and testing methodologies.

Reverse Engineer the best and biggest mobile apps out there to discover exciting tech innovations hidden in them ahead of the industry.
Work with IDA / JEB / Hopper / Ghidra / R2 / Frida, and friends.
ARM, Obfuscation, Geo locking, jailbreak detections before the morning coffee.
Own a proprietary, world-leading solution for Android or/and iOS Benchmarking.
Work as a part of a passionate researchers team and together bring to the table the best practice and most mind-blowing discoveries.
Take part in moral research, we do not commit hacking.
Impact business directly, researching to build and lead products used by the largest companies in the world.