לוח משרות דרושים הייטק מערכות מידע עבודה היברידית, לחיפוש זה נמצאו 166 משרות

Requirements:
2-3 years of experience in HR Operations / People Operations from Tech Company
Experience working with HRIS systems
Strong proficiency in Excel / Google Sheets
Strong data analysis and reporting skills
Highly organized, detail-oriented, and able to manage multiple tasks at once
High level of English
Ability to work across multiple stakeholders and interfaces
Strong organizational skills, excellent interpersonal abilities, strong communication skills, team player, and a high sense of ownership and responsibility.

Requirements:
Customer orientation and good interpersonal skills.
Able to work independently. Strong problem-solving and analytical skills
Proficiency in MES (Manufacturing execution systems): understanding of MES concepts, frameworks, and best practices. This includes knowledge of product data management, change management, configuration management, and collaboration tools.
Experience in the configuration of MES systems in line with internal or external requirements.
System Integration: Ability to integrate the MES system with other enterprise systems, such as ERP, CRM, and PLM. This requires knowledge of integration patterns, middleware technologies, and data synchronization methods.
Working with multi-functional agile teams from service delivery, design, product development and implementation.
Technical Documentation and Communication: Strong documentation skills to create detailed technical specifications, system architecture diagrams, and operational procedures. Effective communication skills are also essential to collaborate with cross-functional teams and stakeholders.
Very good English skills in business and technical contexts

Requirements:
Requirements:
* At least 5 years of experience in managing technology projects
* Native/very high level written and spoken English – a must.
* Broad technological understanding and ability to work with development teams
* Experience in writing specifications and mapping processes
* Ability to lead independently, with organization and a systemic perspective Advantage:
* Experience with Salesforce
* Familiarity with CRM / ERP / BI systems
* Experience in complex and multi-interface organizations
* Background in working with AI-based systems / artificial intelligence projects

Requirements:
At least 3 years of experience as a System Analyst
Bachelors degree in Industrial Engineering, Computer Science, Software Engineering, Information Systems, or a related field
Proven experience writing functional and technical specification documents
Strong understanding of software development methodologies (Agile / Scrum)
Familiarity with AI-based systems
Ability to work with multiple stakeholders simultaneously
Strong analytical thinking and problem-solving skills
Experience working with cloud platforms (AWS / GCP / Azure)
Advantages:
Experience with HR systems such as payroll, attendance, human resources, or pension systems

Requirements:
Proven experience in systems analysis or information systems implementation
Bachelors degree in Information Systems, Computer Science, Economics, or a related field
Strong analytical and systems-thinking skills with attention to detail
Ability to independently learn and work with complex, highly regulated systems
Preferred Qualifications:
Knowledge of or affinity for payroll and time & attendance systems
Prior experience or familiarity with SAP

Requirements:
Requirements:
5+ years of hands-on experience building production data solutions for SaaS organizations on Snowflake as a Data Engineer, BI Developer, Analytics Engineer, or similar role.
Strong experience with Snowflake objects and capabilities, including warehouses, databases, roles, schemas, views, stored procedures, tasks, streams, and performance tuning.
Experience building reliable ELT or ETL pipelines using incremental loads, CDC, backfills, reconciliation, and idempotent processing.
Strong dimensional modeling and data warehousing foundations, including facts, dimensions, star schemas, marts, and reusable business entities.
Salesforce data experience, including core objects, relationships, API limitations, and Salesforce-to-warehouse pipelines.
Hands-on experience with Snowflake Cortex capabilities such as Cortex Analyst, Cortex Search, Cortex LLM functions, and governed AI data access patterns.
Experience building AI-ready semantic models and curated datasets for governed analytics, BI, and enterprise AI use cases.
Understanding of secure enterprise AI integration patterns, including governed structured data access and MCP-based integrations.
Strong knowledge of data governance, privacy, security, RBAC, masking policies, row access policies, secure views, and compliance-aware data handling.
Proven Snowflake FinOps experience, including credit monitoring, warehouse sizing, workload optimization, storage awareness, and query cost reduction.
Strong system analysis, requirements gathering, source-to-target mapping, lineage, impact analysis, and stakeholder communication skills.

Nice to have:
Python for data processing, automation, testing, or operational tooling.
AWS cloud data experience.
Experience with Snowpark or Snowpark ML.
Experience with BI tools such as Sisense, Tableau, or Power BI.
Experience with data observability, orchestration, CI/CD, or automated testing for data pipelines.

Requirements:
3+ years as a BI Developer, Analytics Engineer, or Senior Data Analyst in a data‑intensive, high‑growth environment.
Deep Tableau expertise (LOD expressions, VizQL performance tuning, Server/Cloud administration).
Hands-on experience with dbt for building and maintaining production-grade models (incremental loads, tests, documentation).
Strong analytical skills: hypothesis-driven analysis, e.g., funnel/cohort analysis, and clear storytelling to stakeholders.
Experience with Amazon Redshift and advanced SQL proficiency (window functions, CTEs, distribution keys / sort keys / query plans / materializations).
Proven experience designing and maintaining production‑grade ETL/ELT pipelines.
Professional‑level English communication skills-able to articulate complex technical concepts and data‑driven narratives to diverse audiences.
Workflow orchestration with Azkaban - advantage.
Familiarity with data catalog, lineage, and monitoring tooling - advantage.