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Digital Strategy-Data Modeler Consultant

KPMG IndiaMumbai, Maharashtra, India

30+ days ago

Job description

About KPMG in India

KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.

KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.

BE / BTech / MCA / MSC IT with 4 to 8 years of experience and equivalent combination of education and experience.

Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex / gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you. Key Responsibilities

Designing and implementing data models to manage and analyse data effectively. Work closely with data architects, data analysts, and database administrators to create and manage data systems that support efficient data management and analysis.

Understand business requirements, translate them into technical designs, deal with complexities of integration of disparate systems, investigate the quality of the data in those systems and put it all together so it can be accessed, manipulated, and turned into business intelligence.

Design conceptual / logical / physical entity relationship and / or relational models and multidimensional models for an EDW that implements flexible reporting capability in the context of one or more reporting toolsets.

Provide multi-dimensional modelling expertise and leadership by designing data structures to support the growth and improved reporting functionality of the Data Lake / EDW.

Guide the development and maintenance of data standards, policies and practices; Guide the design of the data models, in alignment with the solution architecture.

Work closely with database administration, ETL, and BI development staff to optimize overall design at an enterprise level.

Major KRAs :

Analyse Business Needs : Understand and translate business requirements into data models.

Develop Data Models : Create conceptual, logical, and physical data models to support business processes.

Database Design : Design and implement effective database solutions to store and retrieve company data.

Data Migration : Oversee the migration of data from legacy systems to new solutions.

Performance Monitoring : Monitor system performance by performing regular tests, troubleshooting, and integrating new features.

Compliance : Ensure that database implementation procedures comply with internal and external regulations.

Data Security : Understanding of authentication and authorization techniques. Developing the model to support data level security.

Documentation : Prepare accurate database design and architecture reports for management and executive teams.

Training and Support : Educate staff members through training and individual support.

Research and Development : Stay updated with new technologies and continuously improve data modelling techniques.

Data Governance : Understanding of the different modelling practices for Enterprise MDM and BI-MDM. Basic understanding of Data quality assessment and metadata management.

Technical Skills : Proficiency in SQL, database management, and programming languages.

Key Skills :

Analytical Skills : Strong analytical and problem-solving abilities.

Communication Skills : Ability to communicate complex data concepts to non-technical stakeholders.

Experience : Prior experience in data analysis, database design, and data modelling tools.

Typical Tools Used :

Data Modelling Tools : ER / Studio, IBM Infosphere Data Architect, Oracle SQL Developer Data Modeler.

Database Management Systems : MySQL, PostgreSQL, Oracle, SQL Server.

Programming Languages : SQL, Python

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Consultant • Mumbai, Maharashtra, India

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