דרושים » תוכנה » data Analyst

We are looking for an experienced Cloud Data Presales professional who helps customers understand the possibilities of big data, analytics, AI, and ML across EMEA. As a Data Presales, you will be the first point of contact for the customer regarding data, and you will be responsible for defining the right data strategy for them. As a Data Presales, you will work closely with Data Architects, Engineers, and Project Managers. Perform feasibility analyses, present data use cases, simplify and hold presentations in front of IT and non-IT people, and position the topic of data and AI with customers.

Responsibilities:
Support the Sales team by explaining opportunities in Big Data, Analytics, AI, and ML.
Guide clients to understand data: opportunities, threats, and action plans.
Conduct interviews, brainstorming sessions, and workshops with client teams and executives on data-related topics and projects.
Develop strategic and action plans.
Collaborate with external vendors and partner technologies.
Comprehensive project and team management of Data Scientists, Engineers, and other stakeholders.
Be an online and offline ambassador for the data practice.

The ideal candidate is not afraid of data in any form or scale, and is experienced with cloud services to ingest, stream, store, and manipulate data. The Data Engineer will support new system designs and migrate existing ones, working closely with solutions architects, project managers, and data scientists. The candidate must be self-directed, a fast learner, and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or re-designing our customers data architecture to support their next generation of products, data initiatives, and machine learning systems.

Summary of Key Responsibilities:
To meet compliance and regulatory requirements, keep our customers data separated and secure.
Design, Build, and operate the infrastructure required for optimal data extraction, transformation, and loading from a wide variety of data sources using SQL, cloud migration tools, and big data technologies.
Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operational problems.
Design, build, and operate large, complex data lakes that meet functional / non-functional business requirements.
Optimize various data types' ingestion, storage, processing, and retrieval, from near real-time events and IoT to unstructured data such as images, audio, video, documents, and in between.
Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.

our company Security is one of the main pillars of our company's long-term strategy. We are pushing the boundaries of security analysis for both binaries and code, shifting left and delivering powerful capabilities to developers and DevOps teams. We are looking for an experienced Senior Database Engineer with deep PostgreSQL expertise and strong application-side awareness to join our DevOps organization and support multiple R&D teams at scale.
As a Senior Database Engineer at our company Security you will
Own PostgreSQL performance, scalability, and reliability across large-scale security and scanning workloads
Deep dive into database performance issues, including query optimization, execution plans, indexing strategies, locking, bloat, vacuuming, and connection management
Work closely with application teams to optimize database access patterns from services and APIs
Review application code and SQL usage with a focus on correctness, performance, and scalability
Design, evolve, and optimize schemas and migrations for long-lived, high-volume datasets
Support and fine-tune PostgreSQL in both cloud-managed environments, such as RDS and self-managed deployments
Establish best practices, standards, and guidelines for PostgreSQL usage across teams
Mentor engineers and raise the overall database maturity of the organization
Act as a trusted expert for troubleshooting complex production database incidents.

DRS RADA is a leading defense high-tech company specializing in radar systems development. We are seeking an experienced 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, and 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. If you're passionate about building scalable data solutions and thrive in a fast-paced environment, we’d love to hear from you!

we are looking for a skilled Data Center Engineer to join our Lab team. The ideal candidate will be responsible for maintaining, monitoring, and optimizing our data center environments to ensure high availability, resiliency, and performance. This role involves hands-on technical work, troubleshooting hardware and network issues, and collaborating with cross-functional teams to support mission-critical systems. You will report to the Lab Manager.
Key Responsibilities
Data Center Operations
Perform installation, configuration, and maintenance of servers, network equipment, storage systems, and cabling.
Monitor facility systems, including power, cooling, fire suppression, and physical security.
Conduct routine inspections to ensure environmental and operational stability.
Manage data center capacity planning (space, power, cooling).
Hardware & Infrastructure Support
Troubleshoot and resolve hardware failures for servers, routers, switches, and other equipment.
Coordinate with vendors for RMA processes and hardware lifecycle management.
Perform firmware upgrades and hardware refresh activities.
Network & Systems Support
Support deployment and maintenance of network infrastructure (LAN/WAN, routing, switching).
Assist with installation and configuration of OS and virtualization technologies (Linux, VMware, Hyper-V, etc.).
Work with IT/security teams to ensure compliance and secure configuration of data center assets.
Monitoring & Incident Response
Monitor systems and respond to alerts to ensure uptime and SLA adherence.
Maintain accurate documentation of incidents, configurations, and procedures.
Process & Documentation
Follow and improve standard operating procedures.
Maintain asset inventory, rack diagrams, and documentation.
Support audits and compliance requirements.

We seek a skilled Senior Infra Backend Engineer to join our R&D office in Tel Aviv, working in a hybrid and flexible model.
Youll collaborate with a top-tier R&D team and take your professional growth to the next level. Our backend infra teams work mainly with Python and Go, but we welcome talented backend engineers from any language background.

Example Projects

Researching and running POCs of new technologies to select the optimal solution for system requirements.

Migrating massive amounts of user-level data into Iceberg, while keeping scale and cost efficiency in mind.

Designing and implementing a robust pipeline capable of ingesting billions of real-time events daily (hundreds of thousands per second).

Exploring and choosing database and streaming technologies to support a rapidly growing clientele base.

Leading the design and development of a new streaming ETL product with low memory footprint and efficient processing.


Key Responsibilities

Design and build scalable pipelines processing billions of events daily.

Dive deep into infra technologies and optimize them at scale.

Lead major efforts from idea initiation → design → implementation.

Tackle complex challenges in scalable architecture within our AWS environment.

Integrate and leverage top industry technologies such as Kafka, Iceberg, DynamoDB, Postgres, EMR, Kubernetes, Druid, Snowflake, and more.

Required Senior Data Engineer
Full-time
Company Description
A dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.
Job Description
Responsibilities:
Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.
Additional Information
Location: Ra'anana
Start Date: Immediate.