Deloitte—T&T | Engineering | Consultant | Data Modelling | PAN INDIA

Job description

Description: T&T | Engineering | Consultant | Data Modelling | PAN INDIA • Job requisition ID : 111648 • Location: Ahmedabad • Entity: Deloitte Touche Tohmatsu India LLP The Team Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Your work profile: As a Consultant in our Technology & Transformation Team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations Key Skills & Competencies Professional Experience: 6–9 years of overall experience, with significant time spent in data modelling and data architecture within the financial services industry, ideally with a focus on Private or Retail Banking. • Domain Knowledge: In-depth understanding of financial products, processes, and the data lifecycle within the Private and/or Retail Banking sectors. Proven experience in data modelling for regulatory reporting (e.g., Risk, Finance). • Modelling with UML & Object-Oriented Modelling: Create and maintain robust data models using standard notations, including Unified Modelling Language (UML) Class Models for representing logical and physical data entities. Good to have Object Oriented Modelling experience. • Proven expertise in relational, dimensional, and modern data modelling techniques. Experience designing for complex data structures, including multi-domain, hierarchical, and unstructured data across enterprise systems, cloud platforms (GCP, Azure, AWS), and specialized big data environments. • Extensive, hands-on experience with enterprise data architecture, including logical and physical data modelling, data governance frameworks, and harmonized data provisioning. • Data Modelling Tools: Expert proficiency with data modelling tools such as Power Designer, ER/Studio, Erwin or similar. • Exceptional project and senior stakeholder management capabilities, with the ability to build and maintain strong relationships across different functions and seniority levels. • Strong understanding of database technologies (relational and cloud-based), Big Data technologies, and data integration patterns. Knowledge of XMI, XML, JSON, or similar data communication languages is an advantage. Preferred Qualifications - Education - B. tech / BE in Computer Science or Information Technology. Success Metrics - Strong experience in Data Warehousing concepts and dimensional modeling. - Experience with Conceptual, Logical, and Physical Data Modeling. - Strong SQL knowledge and understanding of relational databases. - Design, develop and deploy solutions using different tools, design principles and conventions - Configure robotics processes and objects using core workflow principles in an efficient way; ensure they are easily maintainable and easy to understand - Understand existing processes and facilitate change requirements as part of a structured change control process - Solve day-to-day issues arising while running robotics processes and provide timely resolutions - Maintain proper documentation for the solutions, test procedures and scenarios during UAT and Production phase - Coordinate with process owners and business to understand the as-is process and design the automation process flow. - Excellent communication skills (fluent in English) - Strong problem-solving, analytical abilities. - Experience with data warehouse, data lake, concepts and enterprise big data platforms. - Strong SQL and Advanced SQL skills - Experience on Data profiling, building data models would be an advantage Location: - Location: PAN INDIA