Data Modeler

• Collaborate with business stakeholders, data architects, and business analysts to understand and document data requirements.
• Design logical and physical data models that meet business needs and align with industry best practices.
• Develop and maintain data dictionaries, ensuring that data definitions and relationships are clearly documented.
• Identify and resolve data model inconsistencies, redundancies, and anomalies to improve data quality and integrity.
• Perform data profiling and analysis to identify data patterns, trends, and anomalies.
• Work closely with database administrators to ensure the efficient implementation and optimization of data models in database management systems.
• Evaluate and recommend data modeling tools, methodologies, and standards to improve data modeling processes and productivity.
• Collaborate with ETL (Extract, Transform, Load) developers to define data integration requirements and design data transformation processes.
• Participate in data governance initiatives to ensure compliance with data standards, policies, and regulations.
• Stay up to date with industry trends, emerging technologies, and best practices in data modeling and data management.
• Design and develop an API gateway to implement data tokenization/masking.

Qualifications:

• bachelors degree in Computer Science, Information Systems, or a related field. A masters degree is a plus.
• Proven experience as a Data Modeler or in a similar role, designing and implementing data models for enterprise-level applications.
• Strong understanding of data modeling concepts, principles, and methodologies, such as entity-relationship modeling, dimensional modeling, and data normalization.
• Proficiency in data modeling tools such as ERwin, PowerDesigner, or similar.
• In-depth knowledge of relational database management systems (RDBMS) and SQL.
• Familiarity with data integration concepts and tools, including ETL processes and data warehousing.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.
• Familiarity with data governance frameworks, data quality management, and data security concepts.
• Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment.
• Ability to design and implement data tokenization/masking systems.
• Experience in developing secure API Gateways.
• Understanding of python API frameworks such as Flask or FastAPI.

What we offer:

• Competitive Salary and Benefits.
• Opportunity to be part of a fast-paced and growing startup. Grow your career with the company.
• Ownership You will own your initiative and be given specific responsibilities.
• Continuous coaching mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.
• Dynamic and respectful work environment we truly value you