data Modeler

Công ty TNHH Thakral One

Hết hạn: 24/04/2024

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Giới thiệu công ty

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Role

Data Modeler

Summary

As a data modeler, your primary responsibility will be understanding, analyzing, capturing, and maintaining business data requirements using data models. It is your responsibility to ensure that these models are consistent, aligned to the business glossary, and maintained in a way that enables impact assessments and data lineage. In addition, you will be required to collaborate with data product managers and development teams to adopt and reuse the core data model and to promote a data-driven culture.

To excel in this field, you must have a thorough understanding of business data requirements, and the ability to apply this knowledge to create effective data models. This requires a combination of technical expertise, business knowledge, and collaboration skills.

Primary Responsibilities

Convert the data needs into concrete and scalable data structures
Maintain data models at conceptual, logical, and physical levels to meet business and technical needs
Review changes to the existing data models to ensure they are consistent and optimized
Integrate data models from different sources and data domains
Load and version data models in a centralized repository
Establish and enforce data modeling and design standards, best practices, and data integrity rules
Manage data lineage by linking the data model, business glossary, and physical artifacts to maintain consistent terms and definitions
Implement data strategies and advance the data modeling competency in the bank
Assist development teams in documenting their data implementations and mapping their lineage to the data model
Assist data analysts in translating business rules into clear requirements and data models
Collaborate with the Data Governance team to ensure that data is accurate and trustworthy
Collaborate with other teams to ensure alignment between our roadmap and technical architecture
Collaborate with tech leaders to create secure, resilient, performant, and scalable solutions to solve business and customer problems
Perform other related tasks that may be assigned occasionally

Skills, Knowledge, and Abilities

Strong knowledge of data standards, principles, and best practices
Working knowledge of data model design patterns, business intelligence tools, and analytics tools
Working knowledge of SQL and Python
Experience creating and maintaining data models for various data platforms (RDBMS, NoSQL, Hadoop, etc.)
Proficient in data modeling tools and techniques (ERD, UML, dimensional modeling, data vault, etc.)
Excellent communication, collaboration, and problem-solving skills
Can quickly learn new technologies and data domains
Effective with minimum supervision, works under own initiative, and executes with end-to-end focus

Education, Certifications, and Experience

Bachelor's degree or equivalent in Finance, Commerce, Computer Science, Information Technology, Analytics, or a related field
Minimum of 5 years of experience in data architecture, data engineering, data analysis, or data science
Minimum of 5 years of data modeling experience with exposure to conceptual, logical, canonical, or semantic modeling
Data modeling experience in a bank or financial service company
Business Analysis experience in a bank or financial service company
Understands financial and business data
Understands different modeling notations (UML, ORM, etc.) and data schemas (JSON, XSD, XML)

Number of Vacancies

Singapore

Nộp hồ sơ liên hệ

Công ty TNHH Thakral One

Giới thiệu công ty Xem trang công ty

Incorporated in 1997, Thakral One (formerly known as Raffles Solutions) aims to bridge the gap between business and information technology in emerging markets by ensuring that its offerings are customized and the applications are well adapted to the needs and realities of these markets. The...

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