דרושים » דאטה » Senior Data Engineer

Requirements:
BSc/BA in Computer Science or equivalent.
6+ years of experience with Java or similar JVM/OOP languages.
Strong experience with AWS services (e.g., DynamoDB, EKS, IAM, S3, Lambda).
Solid understanding of system architecture, design patterns, and building complex distributed systems.
Handson experience with relational (PostgreSQL) and NoSQL databases (MongoDB, Cassandra, Redis, etc.).
Practical experience building and maintaining production cloud services.
You will have an advantage if you also have:
Familiarity with data streaming or big data technologies such as Kafka, Flink, or Spark.
Experience building microservices using Spring Boot, Docker/containers, and Kubernetes.
Exposure to DevOps practices and tools (CI/CD pipelines, Jenkins, Terraform, Helm).
Background in SaaS product development.
Comfort using AI-based tools to speed up development and testing (such as GitHub co-pilot, Claude,).

Requirements:
What we need to see:

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

10+ years of experience as a software engineer, including demonstrated technological leadership and experience building complex software systems.

Strong knowledge and hands on experience in software design and architecture.

Proficiency in programming languages such as Python, Java, or similar.

Deep understanding of software development methodologies and engineering best practices.

Excellent problem solving skills and the ability to address complex technical challenges.

Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Demonstrated leadership capabilities and the ability to inspire and motivate team members.

Proven track record of delivering high quality work on time and meeting project deadlines.


Ways to stand out from the crowd:

Expert level knowledge of the Python programming language.

Experience with Kubernetes networking.

Strong knowledge of the Linux operating system.

Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related field.

5+ years of experience in data engineering, ideally in telemetry, streaming, or performance analytics domains.

Confirmed experience with Databricks and Apache Spark (PySpark or Scala).

Understanding of streaming processes and their applications (e.g., Apache Kafka for ingestion, schema registry, event processing).

Proficiency in Python and SQL for data transformation and automation.

Shown knowledge in schema evolution, data versioning, and data validation frameworks (e.g., Delta Lake, Great Expectations, Iceberg, or similar).

Experience working with cloud platforms (AWS, GCP, or Azure) - AWS preferred.

Familiarity with data orchestration tools (Airflow, Prefect, or Dagster).

Experience handling time-series, telemetry, or real-time data from distributed systems.

Ways to stand out from the crowd:

Exposure to hardware, firmware, or embedded telemetry environments.

Knowledge of real-time analytics frameworks (Spark Structured Streaming, Flink, Kafka Streams).

Understanding of system performance metrics (latency, throughput, resource utilization).

Experience with data cataloging or governance tools (DataHub, Collibra, Alation).

Familiarity with CI/CD for data pipelines and infrastructure-as-code practices.

Requirements:
Must-Have
2-5+ years of experience in data center operations or infrastructure engineering (adjust depending on level).
Strong understanding of server hardware, cabling standards, and rack/stack procedures.
Experience with network fundamentals (TCP/IP, VLANs, routing & switching).
Ability to lift and move equipment (up to ~25 kg / 50 lbs if required).
Knowledge of monitoring tools and ticketing systems.
Excellent troubleshooting and problem-solving skills.
Nice-to-Have
Experience with virtualization platforms (VMware, KVM, Hyper-V).
Knowledge of Linux/Windows system administration.
Familiarity with Data Center Infrastructure Management (DCIM) tools.
Experience in cloud or hybrid environments.
Certifications: CompTIA Server+, Network+, CCNA, or equivalent.
Soft Skills
Strong communication and documentation abilities.
Ability to work independently and collaboratively.
High attention to detail and operational discipline.
Ability to perform in high-pressure, mission-critical environments.

Requirements:
what we need to see:
b.sc. (or equivalent experience) in Computer Science /software engineering
5+ years confirmed experience of programming C / C ++
5+ years confirmed experience in Linux environment and tools
deep experience with networking protocols mainly ethernet, and security protocols
experience with virtualization technologies
strong analytical, debugging, and problem-solving skills
deep knowledge of computer architecture and operating systems.
experience in performance optimizations
ways to stand out from the crowd:
knowledge and experience in dpdk
knowledge and experience with designing sdks
open source software contributor to relevant projects (ovs, dpdk, Linux Kernel..)
a positive demeanor, a growth mindset, and excellent interactions with colleagues
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Requirements:
B.Sc. in Computer Science from a leading university OR Alumnus of an elite military technology unit - MUST.
At least 5 years of hands-on backend software development experience, primarily in Node.js - A MUST.
Deep knowledge of the JS event loop and asynchronous programming. - A MUST.
Practical experience with frontend development (e.g., React) and a strong willingness to contribute to client-side development when necessary to deliver end-to-end features - A MUST.
At least 5 years with Cloud Computing across at least one of the big three providers (AWS, Azure, GCP), with a focus on Cloud-Native services. This includes expertise in serverless computing, managed container orchestration (EKS/AKS/GKE), and auto-scaling strategies beyond basic IaaS/VM management - A MUST.
Proven experience designing scalable services using Microservices Architecture and related patterns (e.g., Service Mesh, API Gateway, BFF).
Strong understanding of Event-Driven Design (e.g., high-throughput message brokers like Kafka, RabbitMQ, SQS) and Domain Driven Design (DDD) principles.
Experience with high-speed in-memory state management (e.g., Redis) and relational data stores (e.g., PostgreSQL).
Hands-on experience with containerization technologies, specifically Docker and basic Kubernetes usage.
Deep understanding of Infrastructure as Code (IaC) principles. Proven experience managing cloud infrastructure programmatically using tools like Terraform, AWS CDK, or Pulumi (we treat infrastructure as software) - A Big Advantage.
Deep expertise in designing highly secure, multi-tenant SaaS solutions, ideally with knowledge of Zero Trust Architecture (ZTA), mTLS, and secure edge-to-cloud communications.
Strong understanding of CI/CD concepts and automation tools.
Team player, with strong communication, collaboration, and active listening.
Agile/Scrum environment expertise.

Experience designing data pipelines for high-volume time-series telemetry and implementing long-term, cost-optimized data retention strategies (e.g., Object storage tiering).
Experience with Geospatial processing (GIS), mapping technologies (Map tile services, GeoJSON, OGC standards), and implementing spatial rules/geo-fencing.
Advanced Kubernetes experience (Operators, CRDs, Helm) for complex deployment scenarios.

Requirements:
what we need to see: b.sc. in Computer Science and electrical engineering from a top university, or relevant equivalent experience.
12+ years of software development experience.
strong expertise in Python and C ++, with excellent engineering and optimization skills.
proficiency working in Linux -based environments, containers, build systems, and internal automation flows.
ability to collaborate across algorithms, architecture, and hardware teams, and to guide others.
code-quality focused mindset with git-based collaborative development experience.
ways to stand out from the crowd: background in gpu/parallel computing or media/video processing.
deep understanding of principals and operational details of popular ci/cd frameworks like gitlab ci, github actions, jenkins and/or others.
experience with low-level development (drivers, firmware, Embedded, etc.).

Requirements:
8+ years of experience working in a Linux environment with at least one language like Golang, Python, Java, or C or C++
Expert in a container ecosystem like Docker, Kubernetes, our company OpenShift.
Expert in microservices architectures and concepts including APIs, versioning, monitoring, etc.
Ability to examine various technological areas deeply and deliver solutions
Experience with AI frameworks and tooling
Technical leadership acumen in a global team environment
Excellent debugging skills
Proficient written and verbal communication skills in English
Bachelor's degree in computer science or equivalent working experience
The following are considered a plus:
Experience with cloud development
Familiarity with virtualization, networking, or storage
Background in DevOps or site reliability engineering (SRE)
Experience with open source development.