לוח משרות דרושים

Requirements:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
5+ years of experience in backend development, with a strong focus on infrastructure and platform engineering.
Proficiency in programming languages such as C#, Python, Java, or Go.
Experience building large-scale infrastructure applications or large-scale web applications.
Experience improving stability of large-scale systems using monitoring, solving bottle-necks and making appropriate changes.
High coding standards, working independently and experience leading long term tech tasks involving many teams and stakeholders.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and container orchestration tools like Kubernetes.
Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Ansible).
Demonstrated experience in integrating and leveraging AI tools to enhance development workflows.

Requirements:
At least 2 years experience with SQL/pySpark for data analysis - Must
Experience in Python scripting - Must
Excellent verbal and communication skills in English - Must
AWS Infrastructure experience - Big Advantage
Working with clients - Big Advantage.
Proficiency in Online Marketing/Online Services - Advantage
At least 2 years work experience in Online/Tech Company - Advantage
Team player, autodidact, fast learner with excellent analytical, research and business skills.
Demonstrates initiative and a proactive mindset -Must
Experienced in independently managing complex projects from start to finish.
Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.
Master's degree - Big Advantage.

Requirements:
At least 2 years of work experience in a Tech Company - Must
At least 2 years experience in Python scripting - Must
Experience with SQL for data analysis -Must
Knowledge and understanding of the statistical principles, concepts, methods, and standards- Must
Hadoop/Spark/AWS Infrastructure experience - Big Advantage
Ability to visualize data and experience with a visualization tool and modules (mlplot, matplolib, sns)- Big Advantage
Excellent verbal and communication skills (in English) - Must
Team player, autodidact, fast learner with excellent analytical, research and business skills.

Requirements:
Bachelor's degree in a relevant field.
Ability to work independently and as part of a team
Strong analytical and problem-solving skills
Strong project management and organizational skills
Interest in High tech, Cloud and technologies
Familiar with Microsoft Office (Word, Excel)
Fluent in English (both written and verbal)
Proficiency in Hebrew is an advantage.

Requirements:
Key Responsibilities: Data Analysis & Insights · Extract, clean, and manipulate data using SQL, Python and AI Tools. · Analyze transaction data to identify trends, anomalies, and opportunities for optimization, supporting business objectives. · Monitor fraud patterns and support risk mitigation strategies using advanced analytics. · Provide insights for settlement processes, banks reconciliation and customer behavior analysis. · Develop and maintain dashboards and reports for payment performance, risk metrics, and operational KPIs to provide clear, actionable insights.
Collaboration & Stakeholder Support · Work closely with the business unit, product, R&D, engineering, data and compliance teams to deliver tailored analytical solutions, improve payment flows and reduce friction. · Communicate findings and insights effectively to both technical and non-technical stakeholders. · Provide data-driven recommendations to support strategic and operational decisions. Data Quality & Optimization · Ensure accuracy, consistency, and reliability of data used in analysis and reporting. · Ensure data integrity and compliance with regulatory standards. · Contribute to continuous improvement of data processes, tools, and methodologies. · Collaborate with data engineering teams to enhance data accessibility and efficiency.
Qualifications: Experience:
* Minimum 2–3 years of professional experience in data analytics, preferably in payments, fintech, or banking.
* Familiarity with payment systems (card networks, acquiring/issuing, digital wallets). - advantage
* Knowledge of chargebacks, and regulatory compliance. - advantage o Understanding ML techniques for risk analytics and exposure to cloud data platforms (Azure, AWS, GCP, DBX) are advantages. Technical Skills:
* Strong proficiency in SQL for querying and manipulating data.
* Working knowledge of Python for data analysis (e.g., Pandas, NumPy, visualization libraries).
* Experience with BI platforms for building dashboards and reports.
* Experience working with AI Tools Soft Skills:
* Strong analytical and problem-solving mindset with attention to details.
* Ability to translate data into business insights.
* Excellent communication skills and ability to collaborate across teams.