Data Modeler

As an expert in structuring data and creating data marts, you play a crucial role in enabling analytics teams to derive valuable insights and make data-driven decisions. Working at NeoStats, a Data & Analytics firm, you will have the opportunity to be part of a new age company that offers contemporary solutions and aims to transform organizations into world-class, data-driven entities. Key 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: - 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. At NeoStats, you will enjoy competitive salary and benefits, the opportunity to be part of a fast-paced and growing startup, ownership of your initiatives, continuous coaching and mentoring from senior data scientists and AI experts, and a dynamic and respectful work environment. Join us in Bengaluru, India, and grow your career with the company. As an expert in structuring data and creating data marts, you play a crucial role in enabling analytics teams to derive valuable insights and make data-driven decisions. Working at NeoStats, a Data & Analytics firm, you will have the opportunity to be part of a new age company that offers contemporary solutions and aims to transform organizations into world-class, data-driven entities. Key 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 gat