5 Etl Architect jobs in Egypt
Data Engineer-Data Integration
Cairo, Al Qahirah
IBM
Posted 5 days ago
Job Viewed
Job Description
**Introduction**
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.
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.
This advertiser has chosen not to accept applicants from your region.
0
Data Engineer-Data Integration
Cairo, Al Qahirah
IBM
Posted 5 days ago
Job Viewed
Job Description
**Introduction**
* 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.
* 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.
This advertiser has chosen not to accept applicants from your region.
1
Data Engineer-Data Integration
Cairo, Al Qahirah
IBM
Posted 9 days ago
Job Viewed
Job Description
**Introduction**
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.
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.
This advertiser has chosen not to accept applicants from your region.
2
Data Engineer-Data Integration
Cairo, Al Qahirah
IBM
Posted 25 days ago
Job Viewed
Job Description
**Introduction**
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.
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.
This advertiser has chosen not to accept applicants from your region.
3
Enterprise Data Warehouse Architect
SSC Egypt
Posted today
Job Viewed
Job Description
1. Prepare a design for all metadata according to various ETL processes.
2. Develop both physical and logical data models.
3. Prepare designs for database systems and recommend improvements for performance.
4. Engage with Business Stakeholders to ensure that Data Warehouse Strategies are developed in
alignment with business outcomes and corporate goals and strategies.
5. Promote and guide the Data Warehouse team to the principles and contents of Technology Strategies to
ensure their correct implementation and adherence.
6. Provide support throughout project life cycles, including during the delivery and implementation of solutions,
ensuring patterns and development standards are understood and adhered to.
7. Ensure that Data governance standards are fully adhered to, with oversight of data modeling work.
8. Support warehouse development to optimize performance.
9. Work closely with Stakeholders and Business Analysts to analyze and translate business requirements into
practical technical requirements and appropriate solutions.
Policies, Processes, and Procedures
10. Follow all relevant department policies, processes, standard operating procedures, and instructions so that
work is carried out in a controlled and consistent manner.
11. Follow the day-to-day operations related to own jobs in the IT Architecture & Strategy department to ensure
continuity of work.
12. Comply with all relevant CBE regulations, banking laws, AML regulations, and internal policies and code of conduct to maintain a sound legal position and mitigate any potential risks
**Requirements**:
- Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related field.
- 15+ years of experience with at least 10 years of Data warehouse architecture/management/design.
- Track record of managing the architecture of multiple change projects/programs in a complex environment
- Strong knowledge of database structure systems and data mining
- Highly results-driven, with the energy and determination to succeed in a very fast-paced environment where
the pace and quality of response is critical to success
- Motivated self-starter who can work autonomously and add value to a team
- Excellent interpersonal, organization, and time management skills
- Must be cooperative, flexible, and able to work well with others
- Expertise in Microsoft SQL Server and Oracle
- Hands on experience in the Insurance sector or Financial Services is preferred
- Excellent organizational and analytical skills
**Skills**:
- Very Good in English, reading, writing and speaking.
- Ability to effectively communicate, both verbally and in writing.
- Analytical thinker Strong knowledge of Data Architecture found in the banking sector
- Very good Leadership skills
- Very good Communication skills
- Analytic thinking, problem-solving, and decision making
2. Develop both physical and logical data models.
3. Prepare designs for database systems and recommend improvements for performance.
4. Engage with Business Stakeholders to ensure that Data Warehouse Strategies are developed in
alignment with business outcomes and corporate goals and strategies.
5. Promote and guide the Data Warehouse team to the principles and contents of Technology Strategies to
ensure their correct implementation and adherence.
6. Provide support throughout project life cycles, including during the delivery and implementation of solutions,
ensuring patterns and development standards are understood and adhered to.
7. Ensure that Data governance standards are fully adhered to, with oversight of data modeling work.
8. Support warehouse development to optimize performance.
9. Work closely with Stakeholders and Business Analysts to analyze and translate business requirements into
practical technical requirements and appropriate solutions.
Policies, Processes, and Procedures
10. Follow all relevant department policies, processes, standard operating procedures, and instructions so that
work is carried out in a controlled and consistent manner.
11. Follow the day-to-day operations related to own jobs in the IT Architecture & Strategy department to ensure
continuity of work.
12. Comply with all relevant CBE regulations, banking laws, AML regulations, and internal policies and code of conduct to maintain a sound legal position and mitigate any potential risks
**Requirements**:
- Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or a related field.
- 15+ years of experience with at least 10 years of Data warehouse architecture/management/design.
- Track record of managing the architecture of multiple change projects/programs in a complex environment
- Strong knowledge of database structure systems and data mining
- Highly results-driven, with the energy and determination to succeed in a very fast-paced environment where
the pace and quality of response is critical to success
- Motivated self-starter who can work autonomously and add value to a team
- Excellent interpersonal, organization, and time management skills
- Must be cooperative, flexible, and able to work well with others
- Expertise in Microsoft SQL Server and Oracle
- Hands on experience in the Insurance sector or Financial Services is preferred
- Excellent organizational and analytical skills
**Skills**:
- Very Good in English, reading, writing and speaking.
- Ability to effectively communicate, both verbally and in writing.
- Analytical thinker Strong knowledge of Data Architecture found in the banking sector
- Very good Leadership skills
- Very good Communication skills
- Analytic thinking, problem-solving, and decision making
This advertiser has chosen not to accept applicants from your region.
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