NeoStats - Data Modeler

NeoStats - Data Modeler

About Us :

NeoStats is new age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create lasting competitive advantage for our clients by transforming them to world-class, data driven organizations. Established in 2022 to provide End to End Data & Analytics Services, we are headquartered out of UAE, with bases in India & UK. Comprising of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership and e2e implementation approach.

For details refer to: https://theneostats.com/

Responsibilities:

- 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 :

- Bachelor's degree in Computer Science, Information Systems, or a related field. A Master's 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.