Job opening - Data Modeler / Data Architect in Singapore | Randstad Singapore

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summary

singapore
randstad pte limited
permanent
full-time

specialism
information technology
sub specialism
data science & machine learning
reference number
91M0221162_0056828136212849678

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job details

about the company
Our client is a leading Oil & Energy company

about the job
...

Collaborate with business stakeholders, data architects, database administrators, solution architects, data engineers, and external service providers to understand data requirements and translate them into effective data models.
Develop and govern data modelling standards, best practices, and guidelines to ensure consistency and maintainability across data models.
Participate in data governance activities, including data quality assessments, data security management, master data management, and metadata management.
Review to ensure up-to-date documentation for data models, including entity-relationship diagrams, data flow diagrams, and data catalogues/data lineage.
Analyse existing data structures, databases, and systems to identify opportunities for improvement and propose data modelling solutions.
Stay up to date with emerging trends, technologies, and industry best practices in data modelling and data management.
Any other assigned responsibilities.

about the manager/team
You will be a key member of the Digital and Analytics (D&A) teams

skills and experience required

Proven 5 years of work experience as a Data Modeler or in a similar role.
Familiarity with data integration and ETL/ELT processes.
Experience with cloud-based data platforms, such as Snowflake Data Cloud, Azure Data Lake Storage.
Knowledge of data modelling for NoSQL databases, such as Azure Cosmos DB, MongoDB, or Cassandra.
Good Understanding of data modelling concepts, techniques, and methodologies.
Proficiency in data modelling tools
Strong communication and collaboration skills to work effectively with cross-functional teams.
Ability to prioritize and manage multiple tasks in a dynamic work environment.

To apply online please use the 'apply' function
(EA: 94C3609/ R1324990 )

show more

about the company
Our client is a leading Oil & Energy company

about the job

Collaborate with business stakeholders, data architects, database administrators, solution architects, data engineers, and external service providers to understand data requirements and translate them into effective data models.
Develop and govern data modelling standards, best practices, and guidelines to ensure consistency and maintainability across data models.
Participate in data governance activities, including data quality assessments, data security management, master data management, and metadata management.
Review to ensure up-to-date documentation for data models, including entity-relationship diagrams, data flow diagrams, and data catalogues/data lineage.
Analyse existing data structures, databases, and systems to identify opportunities for improvement and propose data modelling solutions.
Stay up to date with emerging trends, technologies, and industry best practices in data modelling and data management.
Any other assigned responsibilities.

about the manager/team ...

You will be a key member of the Digital and Analytics (D&A) teams

skills and experience required

Proven 5 years of work experience as a Data Modeler or in a similar role.
Familiarity with data integration and ETL/ELT processes.
Experience with cloud-based data platforms, such as Snowflake Data Cloud, Azure Data Lake Storage.
Knowledge of data modelling for NoSQL databases, such as Azure Cosmos DB, MongoDB, or Cassandra.
Good Understanding of data modelling concepts, techniques, and methodologies.
Proficiency in data modelling tools
Strong communication and collaboration skills to work effectively with cross-functional teams.
Ability to prioritize and manage multiple tasks in a dynamic work environment.

To apply online please use the 'apply' function
(EA: 94C3609/ R1324990 )

show more

skills
Data Engineering, Data Architect, Data Modelling, ETL, SQLDBM
qualifications
Bachelor's or master's degree in computer science, information systems, or a related field.
education
Associate Degree/Diploma

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neha singh

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