data scientist - artificial intelligence Jobs in Giza

data scientist - artificial intelligence

data & analytics engineer (vois) Jobs in Giza

data & analytics engineer (vois)

data governance analyst - banking sector Jobs in Giza

data governance analyst - banking sector

data scientist

planning engineer

data engineer

Orange

<p></p><div><div><p><b>Purpose of the job</b></p><p></p><p>
As a data engineer you'll work as s a Big Data Developer, you will be working on Data Ingestion activities to bring large volumes of data into our Big Data Lake. The candidate will play a vital role in building new data pipelines from various structured and unstructured sources into Hadoop. You will be working closely with data consumers and source owners to create the foundation for data analytics and machine learning activities.</p><p></p><p><b>
Duties and responsibilities</b></p><ul><li>
Identifying data ingestion patterns and build framework to efficiently ingest the data to our Data Lake</li><li>
Performance tuning ingestion jobs to improve throughput</li><li>
Improving CI/CD process by automating build, test and deployment framework</li><li>
Build high-performance algorithms, prototypes, and proof of concepts</li><li>
Research opportunities for data acquisition and new uses for existing data</li><li>
Develop data set processes for data modeling, mining and production</li><li>
Integrate new data management technologies and software engineering tools into existing framework</li><li>
Work with In-memory database tools (Redis, Riak)</li><li>
Collaborate with data architects, modelers and IT team members on project goals</li></ul><p></p><p><b>
Education</b></p><ul><li>
Bachelor degree of Engineering in Computer Systems, or Computer Science.</li></ul><p></p><p><b>
Experience</b></p><ul><li>
5+ years working with Java based applications and open source technologies</li><li>
3+ years data engineering experience supporting high-volume, high-velocity data streams.</li><li>
Prior experience in working with Hadoop technologies such as HBase, Hive, Spark is a plus<br>
</li><li>
Performance tuning of Java applications and messaging technologies is a plus</li><li>
Prior experience with relational databases such as MS SQL, Oracle and DB2</li><li>
Knowledge and understanding of SDLC and Agile/Scrum procedures, CI/CD and Automation is required</li><li>
Ability to use containers like dockers or Kubernetes is a plus</li><li>
Ability to write SQL queries and use tools such as Hadoop, Tableau, QlikView, and other data reporting tools.</li><li>
Experience in transactional and data warehouse environments using MySQL, Hive, or other database systems. Must deeply understand joins, subqueries, window functions, etc.</li><li>
Strong background in designing relational databases like Postgres and NoSQL database like Mongo DB
<br>
or Cassandra</li></ul><p></p><p><b>
Skills and abilities</b></p><ul><li>
Very good English both written &amp; spoken.</li><li>
Good computer skills.</li><li>
Past experience in telecom operators and service providers is preferred</li><li>
Good knowledge of database systems and BI solutions</li><li>
Good programming and debugging skills.</li><li>
Good problem solving skills.</li><li>
Ability to administer different hardware and operating system solutions.</li></ul><p></p>
</div><div></div><div><h2 class="jobSectionHeader"><b>Contrat
</b></h2><div>CDI</div></div></div>

Sr. Supervisor Data Engineer

VOIS

<div>
 <strong>
  Join Us
  <br/>
  <br/>
 </strong>
 At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.
 <br/>
 <br/>
 <strong>
  Role Purpose
  <br/>
  <br/>
 </strong>
 The Data &amp; Analytics Engineer role focuses on creating engineering &amp; analytics according to data scope for our home product portfolio, serving millions of homes across Europe. As a key member of our data team, you will be responsible for implementing reporting pipelines and integrating them with cross-product analytics to inform strategic decision-making processes. The role offers an exciting opportunity to work with large and complex datasets, develop innovative analytics solutions using industry best analytics services and practices and contribute to the success of our products in the market.
 <br/>
 <br/>
 Also, to design, build, and maintain scalable, end-to-end data engineering and analytics solutions that deliver actionable insights, support strategic decision making, and drive continuous improvement across Vodafone&rsquo;s Home Technology and Products portfolio.
 <br/>
 <br/>
 As the candidate gains knowledge and experience, the position will evolve into an end-to-end analytics architect role, where you will play a pivotal role in designing and implementing comprehensive analytics solutions across the organization.
 <br/>
 <br/>
 <strong>
  Key Accountabilities And Decision Ownership
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement cloud-based reporting pipelines leveraging AWS and GCP services, ensuring scalable, efficient, and cost-effective data processing and analytics solutions
  </li>
  <li>
   Develop and maintain robust ETL/ELT workflows to ingest, transform, and optimize structured and unstructured data, enabling seamless integration with analytics and BI platforms
  </li>
  <li>
   Ensure data quality and reliability by implementing automated testing frameworks, data validation processes, and monitoring systems to proactively identify and resolve data inconsistencies
  </li>
  <li>
   Provide technical leadership and mentorship to junior data engineers, BI developers, and analysts; foster best practices and continuous learning within agile delivery teams
  </li>
  <li>
   Develop and deploy interactive dashboards and reports (Tableau, Power BI) that deliver clear, actionable insights to executive and operational teams. Establish automated data quality, validation, testing, and monitoring frameworks to ensure data accuracy, reliability, and performance
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Competencies, Knowledge And Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Mastery of SQL, with a proven track record of utilizing advanced features and optimizations, coupled with hands- on experience in GCP BigQuery, enabling efficient data querying and manipulation
  </li>
  <li>
   Robust expertise in a wide range of data-related technologies(AWS Colud tools ), encompassing sophisticated data analytics techniques, comprehensive data warehousing strategies, and cutting-edge business intelligence solutions, ensuring a comprehensive understanding of the data landscape
  </li>
  <li>
   Proficiency in crafting insightful reports and intuitive dashboards tailored to diverse business needs, showcasing the ability to distill complex data into actionable insights that drive strategic decision-making
  </li>
  <li>
   Adept at identifying and resolving database and data process issues through systematic troubleshooting methodologies, ensuring data integrity and operational continuity across various systems and processes
  </li>
  <li>
   Demonstrated proficiency in leveraging data visualization tools, particularly Tableau, to create compelling and impactful visual representations of data, enhancing communication and understanding of key insights among stakeholders
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must Have Technical / Professional Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in a quantitative subject (e.g., computer science, mathematics, engineering) (Must work in SW environment )
  </li>
  <li>
   4+ years' experience as a Data Analyst or Engineer
  </li>
  <li>
   Hands-on expertise with cloud platforms (GCP BigQuery, AWS Cloud tools ), ETL/ELT tools, and BI visualization software(Tableau is must)
  </li>
  <li>
   Hands on experience with all aspects of software development including gathering requirements, analysis, design, dimension building, data loading, optimization and front end development
  </li>
  <li>
   Solid understanding of Management reporting requirements, cross functional KPIs and regulatory reports
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 #VOIS #BeUnrivalled #Createthefuture
</div>


Data & Analytics Engineer (VOIS)

Vodafone

<div><div><div><div><h2 class="jobSectionHeader"><b>Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Role purpose:
</b></h2></div><div><p>The senior ML Engineer is a core member of the agile teams facilitating trained ML models to design and deliver E2E solutions as a final product that fulfill the COE automation target. The senior machine Learning Engineer job is to mainly develop and design machine learning pipeline / integrations using different machine learning platforms and his software engineering / cloud skills. Ability to prioritize well, communicate clearly, have a consistent track record of delivery and excellent software engineering skills. Creative engineering balanced with high quality and a customer focus. Must be able to work across multiple facets of the project and juggle multiple responsibilities at the same time. Strong analytic capability and the ability to create innovative solutions.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key accountabilities and decision ownership:</b></h2>
</div><div><ul><li>Develop solutions for real world, large scale problems.</li><li>Design, develop, test, deploy, maintain and improve software.</li><li>Design, develop, and operate the data pipeline platform.</li><li>Manage individual project priorities, deadlines and deliverables.</li><li>Create /Design and maintain ML pipeline and workflows.</li><li>Refactor and optimize ML algorithms to fit on the final solutions.</li><li>Create /Design and maintain automation workflows.</li><li>Understand the product in detail, empathize with customers, so you can predict potential issues in feature development.</li><li>Develop and deploy integrations/APIs on cloud.</li><li>Deliver dockarized micro services on TTD approach.</li><li>Facilitate the cloud capabilities within the developed tools.</li><li>Create /Design Web applications and tools that help data scientists to do their work effectively.</li><li>Create /Design Web applications and tools that allow customers to consume our ML services.</li><li>Follow best practices and standards for accessibility and cross-browser compatibility</li><li>Stick to established coding standards and group procedures individually and in teams</li><li>Add to engineering team&rsquo;s culture of high code quality</li><li>Design and build UIs on any server platform in a team environment</li><li>Manage activities, scope and timelines on the projects with minimum supervision.</li><li>Work with planners to design, develop, and operate tools that fulfill internal requirements.</li><li>Provide user support.</li><li>Work with other teams to conduct troubleshooting when necessary.</li><li>Mentor interns and junior developers, and interview engineering talent.</li></ul>
Code review and peer programming</div></div><div><div><h2 class="jobSectionHeader"><b>
Core competencies, knowledge and experience:</b></h2>
</div><div><ul><li>Strong fundamental knowledge of computer science, such as data structure, algorithm design, and computational analysis</li><li>Experience with one or more general purpose programming languages including but not limited to: Java, Python, JavaScript, or Go.</li><li>Experience with Information Retrieval techniques and frameworks.</li><li>Proficiency in HTML, Javascript, CSS and general Web 2.0 techniques.</li><li>Experience taking a leading role in building complex software systems that have been successfully delivered to customers</li><li>Knowledge of professional software engineering practices &amp; best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.</li><li>Experience with Cloud technologies like GCP and/or AWS products.</li><li>Experience with Django/ Flask.</li><li>Experience with react js.</li><li>Experience RESTful API, SOAP, graph...etc.</li><li>Experience containerization technologies like docker and kubernetes.</li><li>Experience with concurrent/multi-threaded programming.</li><li>Experience with development and system operation in Linux/Unix environments.</li><li>Hands-on Experience with Machine Learning and it's libraries like Sklearn.</li><li>Python Data Science stack (NLTK, Pandas, Numpy).</li><li>Data Mining, Natural language Programming.</li><li>Familiar with deep learning pipelines and tensorflow basics.</li><li>Familiar with big data platforms like Hadoop, Spark.</li><li>Have a high preference to work on data engine, but also have a good understanding of how the services layer works, and how data is consumed by the front-end.</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Must have technical / professional qualifications:
</b></h2></div><div><div>Knowledge of database systems (especially internal design in addition to how to use).<br>
<ul><li>3-5+ years of experience working in the software engineering and machine learning fields.</li><li>Work with cross-functional/and global teams including product management, quality assurance, and support teams.</li><li>Experience of working on projects that span multi-disciplinary areas of differing size and complexity to meet business expectations and deliver results</li><li>Confident and able to liaise and influence at all levels within Vodafone and/or relevant customer organizations.</li><li>Able to communicate effectively across organizational, technical and political boundaries, understanding the context</li><li>Understands business requirements.</li><li>Drives improvements and process innovation.</li><li>Working proficiency and communication skills in verbal and written English.</li><li>Interest and ability to learn other coding languages as needed.</li><li>Strong problem-solving skills.</li><li>High sense of ownership with proactive attitude.</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
#VOIS #BeUnrivalled #Createthefuture</b></h2></div></div></div></div><div></div>

Sr. Machine Learning Engineer

اورنچ مصر

<div><p>About the job Senior Software Development Engineering</p>
<div><p><b>Purpose of the job</b></p>
<p>
As a software development senior engineer you'll work in a Big Data environment, to lead supervise and contribute to building an elastic, high performance scalable applications.</p>
<p>
You will be working with the team on problems involving large scale distributed systems, service-oriented architectures, data and metadata storage, computing infrastructure automation and more.</p>
<p>
You will be expected to contribute to setting the standards, deliveries and process of the data platform engineering process. Training, leading and facilitating work for junior engineers. The candidate will play a vital role in leading the processes of mediating, governing and stewardship of corporate data sets. You will be working closely with the data analytics team to support mining, auditing, testing, researching and visualizing corporate data sets and with the business consumers and subject matter experts to drive smart data driven solutions and initiatives.</p>
<p><b>
Duties and responsibilities</b></p>
<ul><li>
Contribute in developing plans for the team according to the department strategic vision.</li><li>
Provide strong technical leadership to the team with a focus on quality, performance, and security.</li><li>
Foster a culture of creativity and innovation while also promoting practical decision making.</li><li>
Help growing the team by participating in the recruiting process.</li><li>
Collaborate with data scientists, data analysts, modelers and IT team members on project goals.</li><li>
Optimize the performance and support monitoring of data platform systems and computing infrastructure.</li><li>
Define and deliver on service availability and quality SLAs.</li></ul>
<p><b>
Job specification</b></p>
<p><b>
Education</b></p>
<ul><li>
Bachelor degree of Engineering in Computer Systems, or Computer Science.</li></ul>
<p><b>
Experience</b></p>
<ul><li>
5 to 7 years of hands-on software engineering experience</li><li>
Solid engineering fundamentals with extensive and strong software development experience.</li><li>
Experience coaching and mentoring junior software engineers.</li><li>
Experience and understanding of SDLC and Agile/Scrum procedures.</li><li>
Experience working in a big data environment and using big data tools is preferred.</li><li>
Experience with infrastructure as a code, automation and DevOps practices is preferred.</li><li>
Past experience in telecom operators and service providers is preferred.</li></ul>
<p><b>
Skills and abilities</b></p>
<ul><li>
Very good English both written &amp; spoken.</li><li>
Excellent collaboration and communication skills and comfortable working across multiple teams.</li><li>
Strong hands-on skill, can drill deep into complex systems design and implementation.</li><li>
Strong problem solving and troubleshooting skills.</li><li>
Excellent knowledge of database systems.</li><li>
Excellent programming and debugging skills.</li><li>
Good systems administration skills.</li></ul></div></div>

Senior Software Development Engineering

<p></p><div><div><p><b>Purpose of the job</b></p><p></p><p>
As a software development senior engineer you'll work in a Big Data environment, to lead supervise and contribute to building an elastic, high performance scalable applications.</p><p></p><p>
You will be working with the team on problems involving large scale distributed systems, service-oriented architectures, data and metadata storage, computing infrastructure automation and more.</p><p></p><p>
You will be expected to contribute to setting the standards, deliveries and process of the data platform engineering process. Training, leading and facilitating work for junior engineers. The candidate will play a vital role in leading the processes of mediating, governing and stewardship of corporate data sets. You will be working closely with the data analytics team to support mining, auditing, testing, researching and visualizing corporate data sets and with the business consumers and subject matter experts to drive smart data driven solutions and initiatives.</p><p></p><p><b>
Duties and responsibilities</b></p><p></p><ul><li>
Contribute in developing plans for the team according to the department strategic vision.</li><li>
Provide strong technical leadership to the team with a focus on quality, performance, and security.</li><li>
Foster a culture of creativity and innovation while also promoting practical decision making.</li><li>
Help growing the team by participating in the recruiting process.</li><li>
Collaborate with data scientists, data analysts, modelers and IT team members on project goals.</li><li>
Optimize the performance and support monitoring of data platform systems and computing infrastructure.</li><li>
Define and deliver on service availability and quality SLAs.</li></ul><p></p><p><b>
Job specification</b></p><p></p><p><b>
Education</b></p><p></p><ul><li>
Bachelor degree of Engineering in Computer Systems, or Computer Science.</li></ul><p></p><p><b>
Experience</b></p><p></p><ul><li>
5 to 7 years of hands-on software engineering experience</li><li>
Solid engineering fundamentals with extensive and strong software development experience.</li><li>
Experience coaching and mentoring junior software engineers.</li><li>
Experience and understanding of SDLC and Agile/Scrum procedures.</li><li>
Experience working in a big data environment and using big data tools is preferred.</li><li>
Experience with infrastructure as a code, automation and DevOps practices is preferred.</li><li>
Past experience in telecom operators and service providers is preferred.</li></ul><p></p><p><b>
Skills and abilities</b></p><p></p><ul><li>
Very good English both written &amp; spoken.</li><li>
Excellent collaboration and communication skills and comfortable working across multiple teams.</li><li>
Strong hands-on skill, can drill deep into complex systems design and implementation.</li><li>
Strong problem solving and troubleshooting skills.</li><li>
Excellent knowledge of database systems.</li><li>
Excellent programming and debugging skills.</li><li>
Good systems administration skills.</li></ul><p></p>
</div><div></div><div><h2 class="jobSectionHeader"><b>Contrat
</b></h2><div>CDI</div></div></div>

<p></p><div><div><p><b>Purpose of the job</b></p><p></p><p>
A Data Modeler will support the creation of Logical and Physical Data Models using normalized (3NF) and dimensional structures. This role is enabling Enterprise Data Analytics and decision-making by adhering to architectural standards, governance best practices, and ensuring data consistency. Collaboration with business stakeholders to define and document business requirements while promoting data modeling best practices across the organization.</p><p></p><p>
</p><p></p><p><b>Duties and responsibilities</b></p><p></p><div><ul><li>
Develop Logical and Physical data models for OLAP and OLTP systems.</li></ul><p></p><ul><li>
Enforce modeling standards including normalization, denormalization, data transformation, data lineage, and data quality for the Enterprise Data Platform.</li></ul><p></p><ul><li>
Transform raw data from multiple sources into actionable insights.</li></ul><p></p><ul><li>
Conduct modeling sessions with project teams across business units to gather and define data requirements for the Enterprise Data Models.</li></ul><p></p><ul><li>
Collaborate with business and data teams to enhance data models quality and validity for decision support entities.</li></ul><p></p><ul><li>
Perform light data analysis and profiling using SQL queries on metadata as needed.</li></ul><p></p><ul><li>
Document data models for building reference that includes definitions for business terms and KPIs.
</li></ul><p></p><ul><li>Conceptualize complex data schemes while ensuring alignment with modern data architectures like Data Lakehouse.</li></ul><p></p><ul><li>
Collaborate with business stakeholders for requirements gathering and ensure alignment of data models with business needs.</li></ul></div><p></p><p>
</p><p></p><p><b>Job specification</b></p><p></p><p>
</p><p></p><p><b>Education</b></p><p></p><p>
Bachelor's degree from a recognized university in Computer Science, Engineering, or any relevant field.</p><p></p><p>
</p><p></p><p><b>Experience</b></p><p></p><div><ul><li>
3 - 5 Years Experience In data modeling, statistical analysis, data manipulation, and ETL.</li><li>
Telecom industry experience is a strong plus</li></ul></div><p></p><p>
</p><p></p><p><b>Skills and abilities</b></p><p></p><ul><li>
Strong proficiency of English language spoken and written</li><p></p><li>
Advanced level in using SQL for analytics.</li><p></p><li>
Knowledgeable in Inmon and Kimball approaches for designing Data Warehouse and Data Mart architectures.</li><p></p><li>
Familiar with using Data Build Tool (DBT) and Python.</li><p></p><li>
Knowledge of big data ecosystems and trending data platform architectures.</li><p></p><li>
Strong analytical mindset with experience in turning business requirements into logical and physical models.</li><p></p><li>
Ability to grasp concepts quickly.</li></ul><p></p>
</div><div></div><div><h2 class="jobSectionHeader"><b>Contrat
</b></h2><div>CDI</div></div></div>

SUPERVISOR, DATA MODELING

<div>
 <strong>
  Introduction
  <br/>
  <br/>
 </strong>
 In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
 <br/>
 <br/>
 A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
 <br/>
 <br/>
 You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.
 <br/>
 <br/>
 Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
 <br/>
 <br/>
 <strong>
  Your Role And Responsibilities
  <br/>
  <br/>
 </strong>
 We are seeking a Data Scientist with expertise in Artificial Intelligence (AI) to join our team. In this role, you will leverage your strong data analysis skills and business acumen to address complex cognitive computing challenges. You will be responsible for developing and implementing advanced analytics solutions for both structured and unstructured data, with a specific focus on Natural Language Processing (NLP) and Machine Learning (ML) techniques. Your specialization in foundation models and large language models (LLMs) will enable you to design and deliver AI solutions using state-of-the-art technologies.
 <br/>
 <br/>
 The ideal candidate will have experience with tools like GitHub Copilot and Amazon Code Whisperer, and possess a deep understanding of AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. You should be proficient in programming with Python and familiar with essential libraries such as SciKit Learn, Pandas, and Matplotlib. Additionally, experience with cloud platforms like AWS, Azure, or GCP and container orchestration tools such as Kubernetes is essential.
 <br/>
 <br/>
 You will work with a range of relational and NoSQL databases (e.g., SQL, Postgres, DB2, MongoDB) and various operating systems (Linux, Windows, iOS, Android), and collaborate with modern UI frameworks (React.js, AngularJS, etc.). Your role will span the entire AI project lifecycle, from research and prototyping to deploying AI solutions in production environments. A strong foundation in one of the following areas is required: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies.
 <br/>
 <br/>
 <strong>
  Required Technical And Professional Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
  </li>
  <li>
   Proficiency in Python and AI frameworks
  </li>
  <li>
   Experienced in Java Springboot
  </li>
  <li>
   Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
  </li>
  <li>
   Full AI project lifecycle experience, from research and prototyping to production deployment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Technical And Professional Experience
  <br/>
  <br/>
 </strong>
 <em>
  Hiring manager and Recruiter should collaborate to create the relevant verbiage.
 </em>
</div>


Data Scientist

Explore 124+ Data engineer in Giza this September. Find roles across top companies and apply now to boost your career.

124 data engineer jobs IN Giza

Sr. Supervisor Data Engineer

Data & Analytics Engineer (VOIS)

Sr. Machine Learning Engineer

Senior Software Development Engineering

Senior Software Development Engineering

SUPERVISOR, DATA MODELING

Data Scientist