דרושים » הנדסה » Experienced Python Data Engineer‏

Requirements:
3+ years work-related industry experience using Java/Scala/Python
Experience with Big Data technologies: Hadoop, Spark, Elasticsearch (ELK), Flink, Kafka and similar an advantage
Experience building and deploying large scale, low-latency data processing systems
Excellent understanding of performance, profiling, and optimization
Experience working in the Unix/Linux environment
Solid knowledge of Computer Science fundamentals including data structures and algorithms
Experience working with CI/CD, Kubernetes, Airflow, Spring (boot) framework an advantage
Passionate about problem solving with excellent communication and team-work skills
B.Sc. in Computer Science or Computer Engineering

Requirements:
5+ years work-related industry experience using Java/Scala/Python
Experience with Big Data technologies: Hadoop, Spark, Elasticsearch (ELK), Flink, Kafka and similar an advantage
Experience building and deploying large scale, low-latency data processing systems
Excellent understanding of performance, profiling, and optimization
Experience working in the Unix/Linux environment
Solid knowledge of Computer Science fundamentals including data structures and algorithms
Experience working with CI/CD, Kubernetes, Airflow, Spring (boot) framework an advantage
Passionate about problem solving with excellent communication and team-work skills
B.Sc. in Computer Science or Computer Engineering

Requirements:
8 years of experience in Backend development (At least 2 years experience in developing big systems with Python) - Must
Asynchronous programming and experience in developing performance-critical applications
2 years of experience working with AWS, Docker, and microservices Must
Experience with Machine Learning Advantages
Algorithms development (collaborative filtering, similarity, data normalization, clustering) - Advantages
Excellent analytical and time management skills
Teamwork skills with a problem-solving attitude.

Requirements:
Strong programming experience in at least one of the following: C++, Java, Rust, .NET, or Python.
Experience working with python data analytics libraries (such as numpy, pandas, polars).
Experience working on backend services or data-intensive applications.
Understanding of distributed systems, data pipelines, and production monitoring.
Experience in hybrid infrastructure environments (on-prem + cloud).
An open-minded technologist with a willingness to learn and adopt new technologies and best practices.
Nice to Have:
Familiarity with Apache Iceberg or other table/data format technologies (e.g., Delta Lake, Hudi, Parquet, ORC).
Familiarity with Streaming technologies Kafka, Flink.
Experience with orchestration tools like Airflow or Argo.
Exposure to analytics engines (e.g., Spark, DuckDB, Trino).
Knowledge of Kubernetes and containerized deployments.
Experience in MLOps or supporting machine learning pipelines.

Requirements:
At least 10+ years of hands-on software development experience must.
At least 2 years of experience as a Software Architect /or as a Principal Engineer must.
Proven experience in designing large-scale, high-availability systems with complex architecture and high traffic volumes must.
Experience in .NET and C# programming must.
Experience with Microsoft SQL Server and T-SQL development
Significant experience with relational database design and internals
Proven experience leading technical teams and driving end-to-end delivery of complex software projects, Proven experience in leading software projects and development teams must.
Strong background in designing scalable, secure, and high-performance software and data systems
Experience with cloud services and architectures (AWS preferred) must
Familiarity with database design and implementation, including both relational and NoSQL databases
Strong knowledge of software development lifecycle, best practices, and modern development methodologies
Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Experience with operating systems (Windows, Linux)
Experience with scripting languages such as PowerShell and Python
Analytical mind with excellent problem-solving skills
Self-taught, quick learner of new technologies
Nice to have:
BSc in Computer Science, Engineering or Mathematics.
Hands on experience with data analysis of large and complex data sets using NOSQL, Elasticsearch and/or Snowflake
Cyber Security or Information Security background.
Experience with enterprise level release & change management processes.
Experience with Machine learning
Experience in the fintech industry ideally from companies operating in payments, banking, or financial platforms
Frontend development background a plus (Vue.js, React, Angular)
Hands-on experience with NoSQL technologies (Redis is a significant advantage)
Experience working with Snowflake or other cloud-based data warehousing solutions a significant advantage
Familiarity with containerized environments and cloud infrastructure (preferably AWS)
Exposure to AI-related technologies, including MCP servers or tools like GitHub Copilot (MCP experience is a plus).

Requirements:
4+ years of experience in SQL, data analysis and visualization
4+ years of strong scripting experience
Experience with monitoring tools such as DataDog, New Relic, Grafana, Prometheus
Understanding of statistical data
Self-learning and infinite curiosity
Strong troubleshooting and problem-solving skills
Experience with AZURE or other cloud solutions - an advantage
Kusto Query language an Advantage
Experience working with Analytics tools
Excellent teamwork skills and the ability to work autonomously
Statistical analysis experience (e.g. Python)
Experience with Artificial Intelligence - an advantage.

Requirements:
3+ years of work experience as a DevOps Engineer and at least 2 years of experience in a SaaS company
Significant coding experience in Python, PowerShell, Go, Bash or equivalent.
3+ years of experience on at least one major cloud platform: Azure, AWS (Azure is an advantage).
3+ years of Windows or Linux hands-on experience (configure, troubleshooting, and deployment).
Experience with IaaC\CM tools such as Terraform, Packer, and Ansible.
Experience with CI\CD platforms such as Jenkins, Github actions, Azure DevOps, and CircleCI. (Azure DevOps is an advantage)
Excellent problem-solving ability with solid communication and collaboration skills
A good understanding of IT infrastructure-related components, technologies, and protocols, such as Active Directory, DNS, TCPIP, Load balancing, PKI, Firewalls, and routing.
Good English communication skills (A global team where all full team discussions are held in English)
Ability to manage multiple projects of varying scopes concurrently, excellent communication skills, and ability to work as part of a team.
Advantages
Experience with various Azure services, such as: Service Fabric cluster, AKS, Virtual machine scale set, Storage account, Azure AD, Event Hubs, App Service, Azure SQL and SQL Managed instance, Log Analytics and Kusto query language, Azure Function, Azure Batch and more.
Experience with analytics, monitoring, dashboarding and incident management systems, such as Grafana, Azure Monitor, PagerDuty, OpsGenie, DataDog, New Relic.
C#\.Net programming experience.
Bachelors degree in a technical discipline, Information Systems Technology or Computer Science.

Requirements:
Masters or PhD in Computer Science, Physics, EE, Mathematics, Statistics, or a related field
5+ Years of experience of ML research/Deep Learning/Data Mining etc
Experience with software engineering in Python / C++
Strong statistical analysis and mathematical skill
A great team player eager to share/learn/teach other team members.
Creative, self-motivated, love complex problems, determined