לוח משרות דרושים מתכנת Oracle / PL/SQL, לחיפוש זה נמצאו 51 משרות

Requirements:
Bachelors Degree in Science/Data Systems Management/Industrial Engineering and Management
3+ years of experience as a Data Engineer - must
Experience with SQL - must
Experience with BI tools such as Tableau, Looker or similar - must
Knowledge in data modeling and DWH design - must
Experience in developing ETL processes - must
Experience with business requirements gathering - must
Experience with scripting languages - an advantage
Good comprehension of data, and how to tell the story behind it

Requirements:
4+ years of hands-on experience working with large-scale data using SQL and Spark or BigQuery
Strong Python skills for data analysis, scripting, and building reusable workflows
Experience working with raw, imperfect data and turning it into reliable, high-quality outputs
Strong analytical and problem-solving skills, with the ability to break down open-ended or ambiguous requirements
Ability to take end-to-end ownership of data projects, from exploration to delivery
Some hands-on experience with LLM-based systems, such as running inference via APIs, experimenting with prompts, or participating in basic evaluation or testing workflows
Clear communication skills in English and experience working directly with external stakeholders
Nice to have:
Deeper hands-on experience with LLMs in production or experimentation, for example prompt engineering, batch inference, or structured evaluation using APIs such as OpenAI, Anthropic, or similar providers
Familiarity with agent frameworks or orchestration layers (for example LangChain, LlamaIndex)
Experience with LLM evaluation or monitoring workflows, including offline evals, prompt regression testing, or tools such as LangSmith, Weights & Biases, TruLens, or Ragas
Experience experimenting with open-source or local models (for example via Ollama, vLLM, or Hugging Face tooling)
Familiarity with cloud-based data infrastructure, including AWS

Requirements:
4+ years of hands-on experience working with large-scale data using SQL and Spark or BigQuery
Strong Python skills for data analysis, scripting, and building reusable workflows
Experience working with raw, imperfect data and turning it into reliable, high-quality outputs
Strong analytical and problem-solving skills, with the ability to break down open-ended or ambiguous requirements
Ability to take end-to-end ownership of data projects, from exploration to delivery
Some hands-on experience with LLM-based systems, such as running inference via APIs, experimenting with prompts, or participating in basic evaluation or testing workflows
Clear communication skills in English and experience working directly with external stakeholders
Nice to have:
Deeper hands-on experience with LLMs in production or experimentation, for example prompt engineering, batch inference, or structured evaluation using APIs such as OpenAI, Anthropic, or similar providers
Familiarity with agent frameworks or orchestration layers (for example LangChain, LlamaIndex)
Experience with LLM evaluation or monitoring workflows, including offline evals, prompt regression testing, or tools such as LangSmith, Weights & Biases, TruLens, or Ragas
Experience experimenting with open-source or local models (for example via Ollama, vLLM, or Hugging Face tooling)
Familiarity with cloud-based data infrastructure, including AWS

Requirements:
5+ years of hands-on software development experience
Delphi and/or PL/SQL development experience
Proven track record as a self-directed solo contributor - able to own an application end-to-end, from interviewing users for requirements through production support
Education
B.Sc. in Computer Science / Software Engineering or Practical Engineer certification in Computer Science / Software
Technical Requirements
Mandatory
Delphi development (XE2 / 2007 ver) - Windows desktop and server applications
PL/SQL development against Oracle Database (11g and above)
REST / SOAP API design and consumption; web services development
Interfacing with SaaS platforms - ERP, CRM (e.g., MS Dynamics), PLM (e.g., Oracle Agile), BPM systems
Hybrid environment experience - on-premises + cloud (Azure, AWS, GCP)
SQL Server/SSIS/SSRS - queries, stored procedures, data modelling
Version control (Git), CI/CD experience, documentation discipline
Significant Advantage
Experience in at least one of the following: Python, .NET/C#, Node.js, or React
Windows Services, server processes, multithreading, scheduled jobs
BarTender labeling integration
LLM integration - API-based or agent frameworks, prompt engineering, MCP server development
AI-assisted development workflows (e.g., GitHub Copilot, Claude Code, Cursor, etc.)
Power BI or equivalent BI tooling - dashboards, data models, DAX / M queries
Additional Qualifications
Object-oriented design, design patterns, code maintainability in long-lived codebases.
Ability to work independently and within a team; strong interpersonal and communication skills.
Analytical thinking, problem-solving orientation, attention to detail.