4 Data Architect jobs in Qatar
Data Architect
Doha, Doha
Live Connections
Posted today
Job Viewed
Job Description
**Looking for a Data Architect from a Banking Industry**
- Manage and govern a unified view of data, its data linage and provenance, data catalogue across all data assets. Ensuring data is discoverable, well understood, and trusted.
- Drive innovation and growth using data, unlocking data for insightful business decisions.
- Build and maintain good working-relationships across Data Stewards to ensure internal stakeholders and leaders are informed and aligned
- Create Data Governance and Quality, including processes and tools to achieve data objectives
- Define proactive approach to the management of data models, definitions, data governance, ethics and data processing rules to provide timely, appropriate, accurate and up-to-date information at the point of need
- Engage with business analysts, marketing, and other teams across the organization to understand their needs and create big data analytics solutions that meet the business needs
**Job Types**: Full-time, Permanent
Ability to commute/relocate:
- Doha: Reliably commute or planning to relocate before starting work (required)
**Education**:
- Bachelor's (preferred)
**Experience**:
- data architect in banking: 5 years (required)
- Manage and govern a unified view of data, its data linage and provenance, data catalogue across all data assets. Ensuring data is discoverable, well understood, and trusted.
- Drive innovation and growth using data, unlocking data for insightful business decisions.
- Build and maintain good working-relationships across Data Stewards to ensure internal stakeholders and leaders are informed and aligned
- Create Data Governance and Quality, including processes and tools to achieve data objectives
- Define proactive approach to the management of data models, definitions, data governance, ethics and data processing rules to provide timely, appropriate, accurate and up-to-date information at the point of need
- Engage with business analysts, marketing, and other teams across the organization to understand their needs and create big data analytics solutions that meet the business needs
**Job Types**: Full-time, Permanent
Ability to commute/relocate:
- Doha: Reliably commute or planning to relocate before starting work (required)
**Education**:
- Bachelor's (preferred)
**Experience**:
- data architect in banking: 5 years (required)
This advertiser has chosen not to accept applicants from your region.
0
Data Architect
Doha, Doha
Live Connections
Posted today
Job Viewed
Job Description
**Looking for a Data Architect from a Banking Industry**
- Manage and govern a unified view of data, its data linage and provenance, data catalogue across all data assets. Ensuring data is discoverable, well understood, and trusted.
- Drive innovation and growth using data, unlocking data for insightful business decisions.
- Build and maintain good working-relationships across Data Stewards to ensure internal stakeholders and leaders are informed and aligned
- Create Data Governance and Quality, including processes and tools to achieve data objectives
- Define proactive approach to the management of data models, definitions, data governance, ethics and data processing rules to provide timely, appropriate, accurate and up-to-date information at the point of need
- Engage with business analysts, marketing, and other teams across the organization to understand their needs and create big data analytics solutions that meet the business needs
**Job Types**: Full-time, Permanent
Ability to commute/relocate:
- Doha: Reliably commute or planning to relocate before starting work (required)
**Education**:
- Bachelor's (preferred)
**Experience**:
- data architect in banking: 5 years (required)
- Manage and govern a unified view of data, its data linage and provenance, data catalogue across all data assets. Ensuring data is discoverable, well understood, and trusted.
- Drive innovation and growth using data, unlocking data for insightful business decisions.
- Build and maintain good working-relationships across Data Stewards to ensure internal stakeholders and leaders are informed and aligned
- Create Data Governance and Quality, including processes and tools to achieve data objectives
- Define proactive approach to the management of data models, definitions, data governance, ethics and data processing rules to provide timely, appropriate, accurate and up-to-date information at the point of need
- Engage with business analysts, marketing, and other teams across the organization to understand their needs and create big data analytics solutions that meet the business needs
**Job Types**: Full-time, Permanent
Ability to commute/relocate:
- Doha: Reliably commute or planning to relocate before starting work (required)
**Education**:
- Bachelor's (preferred)
**Experience**:
- data architect in banking: 5 years (required)
This advertiser has chosen not to accept applicants from your region.
1
Big Data engineer
Doha, Doha
Arizoglobal
Posted 10 days ago
Job Viewed
Job Description
Experience : 4-6yrs
Job description :
We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.
Responsibilities:
- Collaborate with cross-functional teams such as Data Scientists, Product Partners, and Partner Team Developers to identify opportunities for Big Data, Query (Spark, Hive SQL, BigQuery, SQL) tuning opportunities that can be solved using machine learning and generative AI.
- Write clean, high-performance, high-quality, maintainable code.
- Create backend applications using Python, Docker, Google Cloud & in-house ML frameworks to orchestrate end-to-end applications.
- Design and develop Big Data Engineering Solutions & generative AI Applications ensuring scalability, efficiency, and maintainability of such solutions.
- Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
- Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
Requirements:
- Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
- Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
This advertiser has chosen not to accept applicants from your region.
2
Big Data engineer
Doha, Doha
Arizoglobal
Posted 17 days ago
Job Viewed
Job Description
Experience :
4-6yrs
Job description :
We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.
Responsibilities:
Collaborate with cross-functional teams such as Data Scientists, Product Partners, and Partner Team Developers to identify opportunities for Big Data, Query (Spark, Hive SQL, BigQuery, SQL) tuning opportunities that can be solved using machine learning and generative AI.
Write clean, high-performance, high-quality, maintainable code.
Create backend applications using Python, Docker, Google Cloud & in-house ML frameworks to orchestrate end-to-end applications.
Design and develop Big Data Engineering Solutions & generative AI Applications ensuring scalability, efficiency, and maintainability of such solutions.
Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
Requirements:
Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
#J-18808-Ljbffr
4-6yrs
Job description :
We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.
Responsibilities:
Collaborate with cross-functional teams such as Data Scientists, Product Partners, and Partner Team Developers to identify opportunities for Big Data, Query (Spark, Hive SQL, BigQuery, SQL) tuning opportunities that can be solved using machine learning and generative AI.
Write clean, high-performance, high-quality, maintainable code.
Create backend applications using Python, Docker, Google Cloud & in-house ML frameworks to orchestrate end-to-end applications.
Design and develop Big Data Engineering Solutions & generative AI Applications ensuring scalability, efficiency, and maintainability of such solutions.
Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
Requirements:
Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
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