לוח משרות דרושים הייטק

Requirements:
Bachelors degree in Computer Science, Electrical Engineering, Mathematics, or Geoinformatics/Mapping Engineering.
At least 5 years of experience in algorithm development in the field of photogrammetry.
Experience with relevant libraries such as OpenCV, IPP, and GDAL.
Experience working with mapping infrastructure, coordinate systems, sensor modeling, and calibration with a photogrammetric background.
Familiarity with GIS mapping systems.
Experience in GPU coding and runtime optimization an advantage.

Requirements:
At least three years of experience developing in Python and React.
Experience working with DB (Oracle/PostgreSQL/Redis).
Experience in the ​​JavaScript, TypeScript, HTML, CSS.
System vision and the ability to learn and adopt new technologies independently.

Requirements:
Minimum 5 years experience managing and leading large projects.
Experience working with clients of all sizes, with ability to guide, understand and lead clients.
Good written and reading English proficiency.
Ability to handle multiple tasks in a dynamic environment.

Requirements:
At least 3 years of experience working with Oracle databases (versions 12 and above).
At least 3 years of experience with PostgreSQL, including work with DB Partitions.
At least 3 years of familiarity with SQLPLUS, SQL, and LINUX SCRIPTS.
Experience with Linux- an advantage.
Valid security clearance- an advantage.

Requirements:
Prerequisites:
3+ years of experience in web application development.
hands-on experience on Javascript in frontend platform
hands-on experience on ASP.Net & C# in backend platform
hands-on experience on SQLServer, Procedures & Functions development.
Quick learner: Ability to quickly and independently ramp-up and become savvy in new technologies.
Good communication and presentation capabilities
Ability to work autonomously and as a key team player. Very good interpersonal skills.
Preferably bachelors degree in computer science
Fluent English written and verbal
It would be a plus if you also have:
knowledge in source control like Azure DevOps and GIT
knowledge in GIS development
knowledge in CAD development / integration
knowledge in IIS
knowledge in ETL development.

Requirements:
1 year of experience in a support/service center an advantage.
Excellent interpersonal skills.
Ability to learn independently.
Strong system-wide understanding and technical orientation.
A valid drivers license.

Requirements:
Mandatory Requirements:
5+ years of experience in software architecture roles for complex systems.
Proven experience in leading digital transformation projects for Legacy systems.
Deep knowledge in developing Real-Time systems, including working with protocols, data processing, and communication.
Hands-on experience with Microservices, Kubernetes, Docker, and Cloud platforms (AWS/Azure/GCP).
Strong understanding of Design Patterns, Distributed Systems, and Event-Driven Architecture.
Proficiency in programming languages such as Node.js and Python.
Familiarity with messaging technologies like Kafka, RabbitMQ, or Redis.
Knowledge of DevOps practices, CI/CD, and Security Best Practices.
Significant Advantages:
Security clearance.
Previous experience in defense-related organizations.

Requirements:
At least 5 years of professional software development experience
Minimum 3 years of hands-on experience with Python programming
Strong proficiency in JavaScript / TypeScript, with an emphasis on React.js
Familiarity with CI/CD processes, OpenShift, and Kubernetes an advantage
Experience with Elasticsearch, MongoDB, Kafka, or PostgreSQL an advantage
Self-learning ability, a positive attitude, and excellent interpersonal skills.

Requirements:
2+ years of experience as a Manual QA Engineer.
Hands-on experience with API testing (Postman, Swagger, etc.).
Strong understanding of web and mobile app architecture.
Experience testing on iOS and Android platforms.
Familiarity with test case management and bug tracking tools (e.g., Jira, TestRail, Xray).
Basic understanding of HTTP methods, status codes, and JSON format.
Ability to think from a user perspective and identify edge cases.
Excellent communication and documentation skills.
Strong analytical and problem-solving abilities.
Basic knowledge of SQL.

Requirements:
At least 5 years of experience developing with Angular
Experience with map infrastructure (e.g., Cesium)
System-level thinking and the ability to lead the UI domain within the team.

Requirements:
At least 5 years of experience as a C# developer
Proficiency in UI development environments: WinForms, XAML, WPF mandatory
Knowledge of WinUI an advantage
B.Sc. in Computer Science an advantage.

Requirements:
Required Qualifications
45+ years of experience as a Data Analyst or Business Intelligence Analyst in a B2C environment.
Hands-on experience in fintech or financial services is a strong advantage.
Proficient in SQL and experience querying large-scale datasets.
Strong experience with Tableau or similar BI tools.
Working knowledge of A/B testing, retention modeling, and user funnel analysis.
Experience working with Snowflake or equivalent cloud data warehouses.
Proficiency in defining and interpreting behavioral analytics.
Ability to translate complex data into actionable insights with strong business acumen.
Excellent communication and storytelling skillsverbal, written, and visual.
Degree in Computer Science, Mathematics, Statistics, Economics, or a related field.
Preferred & Bonus Skills
5+ years of total experience in analytics roles.
Experience using Python for data prep, analysis, or statistical modeling.
Familiarity with tools such as Mixpanel, HubSpot, or marketing automation platforms.
Tableau Creator certification.
Prior experience in a fast-paced startup or tech company in the Fintech space.

Requirements:
Proficient knowledge of SQL, Tableau, and excellent skills in Excel - a must!
Experience in product analytics tools and methodology, product instrumenting, data modeling, events, and funnel tracking, and proven ability to drive product insights.
Experience working with analytics tools like Mixpanel, Amplitude, Pendo, etc.
Minimum 4 years of proven hands-on experience in an analytical product role.
Advantages:
Experienced with Python
Deep understanding of A/B testing methodologies.
Experience in the fintech (payments) industry.

Requirements:
1. Technical Expertise
Cloud Data Platforms: Expertise in Google Cloud Platform (GCP)
services, especially in data-related services like BigQuery, Cloud SQL,
Dataproc, Pub/Sub, and Dataflow.
Data Engineering: Strong knowledge of data pipelines, ETL/ELT
processes, and data integration using GCP tools.
Database Management: Experience with both relational and
non-relational databases, including MySQL, PostgreSQL, and NoSQL
solutions like Firestore or Bigtable.
Programming Skills: Proficiency in Python, SQL, and possibly other
languages like Java or Scala, with a focus on data manipulation and
processing.
APIs and Integrations: Experience working with Google APIs and
third-party APIs for data extraction and integration.
Machine Learning: Familiarity with Google Cloud AI tools, such as
Vertex AI, and how to integrate machine learning workflows into the data
architecture.
Data Governance: Knowledge of data security, privacy, governance, and
regulatory requirements (GDPR, HIPAA, etc.).
2. Leadership and Management

Team Management: Ability to lead a team of data engineers, analysts,
and architects, providing guidance, mentorship, and performance
management.
Project Management: Strong skills in managing data projects, ensuring
timely delivery while meeting client requirements.
Collaboration: Experience working cross-functionally with stakeholders
such as solution architects, developers, and business teams to translate
business needs into data solutions.
Resource Allocation: Efficiently managing cloud resources to optimize
cost and performance.
3. Client-Facing Skills
Consulting: Experience in providing consulting services to clients,
including understanding their data needs, providing solutions, and
guiding them through the data modernization process.
Pre-sales Support: Supporting sales teams in scoping out client
projects, preparing presentations, and explaining technical aspects of
data solutions during pre-sales.
Client Relationship Management: Building and maintaining strong
relationships with clients to ensure satisfaction and long-term
partnership.
4. Certifications and Education
● Google Cloud Certifications:
● Professional Data Engineer (preferred)
● Professional Cloud Architect (preferred)
● Other Certifications: Optional certifications in data engineering or
machine learning from organizations like Cloudera, AWS, or Microsoft
Azure can be advantageous.
● Educational Background: Bachelors or Masters degree in Computer
Science, Data Science, Engineering, or a related field.
5. Soft Skills
● Problem-Solving: Ability to troubleshoot data-related issues and
implement scalable solutions.
● Adaptability: Ability to keep up with the rapidly changing cloud and data
landscape.
● Communication: Excellent verbal and written communication skills to
explain complex data systems to non-technical stakeholders.

Requirements:
Proven experience as a Solution Architect or in a similar role, with a
strong focus on SecOps.
Deep understanding of security principles, practices, and tools.
Expertise in cloud security technologies (AWS, Azure, GCP) and
security information and event management (SIEM) tools.
Strong knowledge of vulnerability management, penetration testing, and
incident response processes.
Experience with security automation and orchestration tools.
Excellent communication and collaboration skills, with the ability to
work effectively with both technical and non-technical stakeholders.
Strong problem-solving and analytical skills.
Bachelors degree in Computer Science, Engineering, or a related field.