Data Architect / data engineers

Stockholm County, Stockholm  ‐ Onsite
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Description

Data Engineer ( python, pyspark, databricks, sql ) OR Data Engineer ( in cloud data platform [Azure] )
• Experience in Data & Analytics work - Data Warehousing, ETL, Visualization, Collaboration, Platforms
• Knowledge, experience and skills in the required technologies for the project / assignment - this includes several Cloud tools and technologies
• Knowledge, experience and skills in the required data domains
• Identify the enterprise data needs, design and maintain the data assets to meet the customer needs. Further, use master blueprints to guide data integration, data flows, data assets management and align data modelling. Develop strategy to evolve data products and services with the purpose to achieve data consistency and performance across the analytics/data solutions. Support data management with e.g. data governance, storage and operations.
• Design plans to meet current and long-term data requirements
• Establish Data Architecture – evaluate existing data architecture specifications and develop a roadmap for the future
• Design end to end Data Architectures taking both specific business needs and our enterprise blueprints in to account to make sure we have efficient reuse and operations
• Deliver Data Architecture Artefacts (a) Outline of Strategic Data Requirements (b) Data Architecture Design and Integration Design to meet the requirements (c) Data Flow Design (d) Data Models (e) Data Value Chains (f) Support (and use) with Standard Business Vocabulary for data and components (g) Alignment with Enterprise Architecture and Enterprise Data Model and Reference Data Model (h) Implementation Roadmap for all data in scope
• Identify the enterprise data needs, design and maintain the data assets to meet the customer needs. Further, use master blueprints to guide data integration, data flows, data assets management and align data modelling. Develop strategy to evolve data products and services with the purpose to achieve data consistency and performance across the analytics/data solutions. Support data management with e.g. data governance, storage and operations.
• Design plans to meet current and long-term data requirements
• Establish Data Architecture – evaluate existing data architecture specifications and develop a roadmap for the future
• Design end to end Data Architectures taking both specific business needs and our enterprise blueprints in to account to make sure we have efficient reuse and operations
• Deliver Data Architecture Artefacts (a) Outline of Strategic Data Requirements (b) Data Architecture Design and Integration Design to meet the requirements (c) Data Flow Design (d) Data Models (e) Data Value Chains (f) Support (and use) with Standard Business Vocabulary for data and components (g) Alignment with Enterprise Architecture and Enterprise Data Model and Reference Data Model (h) Implementation Roadmap for all data in scope
• Identify the enterprise data needs, design and maintain the data assets to meet the customer needs. Further, use master blueprints to guide data integration, data flows, data assets management and align data modelling. Develop strategy to evolve data products and services with the purpose to achieve data consistency and performance across the analytics/data solutions. Support data management with e.g. data governance, storage and operations.
• Design plans to meet current and long-term data requirements
• Establish Data Architecture – evaluate existing data architecture specifications and develop a roadmap for the future
• Design end to end Data Architectures taking both specific business needs and our enterprise blueprints in to account to make sure we have efficient reuse and operations
• Deliver Data Architecture Artefacts (a) Outline of Strategic Data Requirements (b) Data Architecture Design and Integration Design to meet the requirements (c) Data Flow Design (d) Data Models (e) Data Value Chains (f) Support (and use) with Standard Business Vocabulary for data and components (g) Alignment with Enterprise Architecture and Enterprise Data Model and Reference Data Model (h) Implementation Roadmap for all data in scope
• Identify the enterprise data needs, design and maintain the data assets to meet the customer needs. Further, use master blueprints to guide data integration, data flows, data assets management and align data modelling. Develop strategy to evolve data products and services with the purpose to achieve data consistency and performance across the analytics/data solutions. Support data management with e.g. data governance, storage and operations.
• Design plans to meet current and long-term data requirements
• Establish Data Architecture – evaluate existing data architecture specifications and develop a roadmap for the future
• Design end to end Data Architectures taking both specific business needs and our enterprise blueprints in to account to make sure we have efficient reuse and operations
• Deliver Data Architecture Artefacts (a) Outline of Strategic Data Requirements (b) Data Architecture Design and Integration Design to meet the requirements (c) Data Flow Design (d) Data Models (e) Data Value Chains (f) Support (and use) with Standard Business Vocabulary for data and components (g) Alignment with Enterprise Architecture and Enterprise Data Model and Reference Data Model (h) Implementation Roadmap for all data in scope
Start date
ASAP
Duration
6 months
(extension possible)
From
Ubique Systems GmbH
Published at
26.07.2022
Contact person:
Dipti Barik
Project ID:
2433162
Contract type
Freelance
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