68 Employee Data jobs in Egypt
Data Engineer-Data Integration
Posted 4 days ago
Job Viewed
Job Description
As a Data Engineer, you will lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world's technology leader. Come to IBM and make a global impact!
**Your role and responsibilities**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
**Required technical and professional expertise**
A Data Engineer with expertise in Data Integration is responsible for designing and building solutions to transfer data from operational and external environments to the business intelligence environment. They utilize tools such as Informatica, Ab Initio software, and DataStage (formerly Ascential) - IBM's WebSphere Data Integration Suite. This role involves creating and implementing Extract, Transform, and Load (ETL) processes, ensuring the seamless flow of data throughout the business intelligence solution's lifecycle.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer-Data Integration

Posted 4 days ago
Job Viewed
Job Description
* 5-7 years of full-time working experience in Data Engineering domain.
* Expertise in Snowflake, Azure/Fabric, DBT, BW, Python, SQL and must have excellent understanding of databases.
* Must have experience with Cloud data integration.
* Good knowledge of Data Modeling, industrial modeling, Analytic model, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration and Business Intelligence.
* Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.
**Your role and responsibilities**
Designs and builds solutions to move data from operational and external environments to the business intelligence, data warehouse and data lake environments using Snowflake and Azure/Fabirc, DBT and BW. Skills include designing and developing extract, transform and load (ETL) and extract, load and transform (ELT) pipelines. Experience includes full lifecycle implementation of the technical components of a data warehouse, data lake and business intelligence solutions.
Position Keywords
#snowflake #dbt #azure #python #sql #modeling
**Required technical and professional expertise**
* SnowPro Advanced: Data Engineer Certification.
* Microsoft Certified: Fabric Data Engineer Associate Certification.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer-Data Integration

Posted 8 days ago
Job Viewed
Job Description
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.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
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.
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.
**Your role and responsibilities**
Designs and builds solutions to move data from operational and external environments to the business intelligence, data warehouse and data lake environments using Snowflake and Azure/Fabirc, DBT and BW. Skills include designing and developing extract, transform and load (ETL) and extract, load and transform (ELT) pipelines. Experience includes full lifecycle implementation of the technical components of a data warehouse, data lake and business intelligence solutions.
Position Keywords
#snowflake #dbt #azure #python #sql #modeling
**Required technical and professional expertise**
* 5-7 years of full-time working experience in Data Engineering domain.
* Expertise in Snowflake, Azure/Fabric, DBT, BW, Python, SQL and must have excellent understanding of databases.
* Must have experience with Cloud data integration.
* Good knowledge of Data Modeling, industrial modeling, Analytic model, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration and Business Intelligence.
* Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.
**Preferred technical and professional experience**
* SnowPro Advanced: Data Engineer Certification.
* Microsoft Certified: Fabric Data Engineer Associate Certification.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Engineer-Data Integration

Posted 24 days ago
Job Viewed
Job Description
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.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
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.
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.
**Your role and responsibilities**
Designs and builds solutions to move data from operational and external environments to the business intelligence, data warehouse and data lake environments using Snowflake and Azure/Fabirc, DBT and BW. Skills include designing and developing extract, transform and load (ETL) and extract, load and transform (ELT) pipelines. Experience includes full lifecycle implementation of the technical components of a data warehouse, data lake and business intelligence solutions.
Position Keywords
#snowflake #dbt #azure #python #sql #modeling
**Required technical and professional expertise**
* 5-7 years of full-time working experience in Data Engineering domain.
* Expertise in Snowflake, Azure/Fabric, DBT, BW, Python, SQL and must have excellent understanding of databases.
* Must have experience with Cloud data integration.
* Good knowledge of Data Modeling, industrial modeling, Analytic model, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration and Business Intelligence.
* Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.
**Preferred technical and professional experience**
* SnowPro Advanced: Data Engineer Certification.
* Microsoft Certified: Fabric Data Engineer Associate Certification.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Scientist

Posted 3 days ago
Job Viewed
Job Description
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.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
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.
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.
**Your role and responsibilities**
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.
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.
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.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Scientist

Posted 4 days ago
Job Viewed
Job Description
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.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
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.
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.
**Your role and responsibilities**
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.
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.
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.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Scientist

Posted 4 days ago
Job Viewed
Job Description
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.
A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.
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.
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.
**Your role and responsibilities**
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.
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.
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.
**Required technical and professional expertise**
* At least 5 years expertise in AI, particularly in NLP, Machine Learning, and foundation models.
* Proficiency in Python and AI frameworks
* Experienced in Java Springboot
* Strong background in databases (SQL, Postgres, MongoDB) and modern UI frameworks (React.js, AngularJS).
* Full AI project lifecycle experience, from research and prototyping to production deployment.
**Preferred technical and professional experience**
Hiring manager and Recruiter should collaborate to create the relevant verbiage.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Data Engineer

Posted 10 days ago
Job Viewed
Job Description
Data Engineer
**Job Description:**
**ESSENTIAL DUTIES & RESPONSIBILITIES**
+ Apply the knowledge of engineering on electronic products to develop the newly introduced parts with technical parameters in different areas daily.
+ Apply the knowledge of engineering in different data development stages, including but not limited to Part number decoding, Electrical/ performance characteristics, compliance, and Lifecycle data collection.
+ Apply the knowledge of engineering on electronic products to track updates in technical Documents revisions and identify the high technical changes to update on the Database.
+ Develop Customer requests after handling them to enter in the Database.
+ Apply a checklist to keep and maintain our data with high quality.
**SKILLS & EXPERIENCE REQUIREMENTS:**
+ Bachelor's degree in Electrical or Electronics Engineering.
+ 0 to 1 year of relevant experience.
+ Familiarity with electronic components and systems.
+ Strong English language skills (written, read, and spoken).
+ Good knowledge of at least one programming language (Python or Java).
+ Proficient in data analysis using Excel, Power BI, or Python.
+ Ability to write code and scripts to automate data processes using languages such as Python, Java, or Scala.
+ Commitment to continuously optimizing data processes for improved efficiency and scalability.
+ Experience in implementing data quality checks and monitoring systems to proactively detect and resolve issues.
+ Proven experience working on projects utilizing technologies such as Python, Power BI, or related tools.
**Location:**
EG-Banha, Egypt (EI Corniche Street)
**Time Type:**
Full time
**Job Category:**
Engineering and Technology
Arrow Electronics, Inc.'s policy is to provide equal employment opportunities to all qualified employees and applicants without regard to race, color, religion, age, sex, marital status, gender identity or expression, sexual orientation, national origin, disability, citizenship, veran status, genetic information, or any other characteristics protected by applicable state, federal or local laws. Our policy of equal employment opportunity and affirmative action applies to all employment decisions personnel policies and practices, or programs.
Data Engineer
Posted today
Job Viewed
Job Description
Working Hours: 9 to 5
Day off: Friday, Saturday
Duties:
Working on developing data pipelines, ETL jobs, automation, data preparation;
- Analyzing user requirements and translating them into Data Engineering problems;
- Designing, development and maintaining robust, production-ready analytics pipelines - from data ingestion to data service;
- Working with different architectures based on streaming and batch data;
- Researching and testing new concepts and technologies for data manipulation;
- Working with different databases (both SQL and NoSQL) and object storage;
- Working in a cross-functional team in order to deliver values to the client;
- Collaboration with the clients in order to understand and satisfy the business requirements.
Qualifications:
- Bachelor or master’s degree in computer science, information technologies, or related field is required
- English: Very Good to Fluent
- 1+ year of relevant experience in development or data engineering
- Relevant knowledge of Python, SQL/NoSQL, microservices, and GIT
- Understand UNIX based systems
- Basic knowledge of software development and programming languages
- especially the understanding of data structures and data types
- knowledge of Pandas, Spark, Bash scripting, Hadoop, Elastic, Kafka, Scala will be considered an advantage
- Experience with containerization technologies: Docker, Kubernetes will be considered an advantage
- Organized, proactive, fast learner
- Strong problem-solving and analytical skills
Data Engineer
Posted today
Job Viewed
Job Description
**Responsibilities**
- Work with stakeholders as well as the Product and Business Teams to assist with data-related technical issues and support their data infrastructure needs
- Assist in building the required infrastructure for optimal extraction, transformation, and data loading from a wide variety of data sources using AWS big data technologies
- Develop and implement databases and data collection systems and undertake preprocessing of structured and unstructured data
- Work with data to solve business problems and build and maintain the infrastructure to answer the stakeholders’ questions and improve our processes
- Use analytical tools that utilize and visualize data and report this to provide actionable insights
**Qualifications & Work Experience**
- 0 to 2 years of relevant experience in a relevant position
- Bachelor’s degree in computer science, computer software, information technology, or any relevant discipline
- Familiarity with AWS (AWS Redshift, AWS Glue, AWS S3, AWS kinesis and Data Lake) is a necessity
- Background in data warehouse design (e.g., dimensional modelling) and data mining
- Experience with reporting tools like Tableau, AWS QuickSight, Looker, and Power BI is a necessity
- Good knowledge of programming languages
**Behavioural Competencies**
- Excellent communicator
- Excellent organizational skills
- Accuracy and attention to detail
- Multi-tasking
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