Data modeler - Vice President - Data & Analytics Engineering at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

0.0

Posted On

07 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modelling, SQL, Database Design, Teradata, SQL Server, Hadoop Hive, Snowflake, Python, Power BI, Unix Scripting, Critical Thinking, Problem Solving

Industry

Financial Services

Description

Database design and Data Modelling experience Strong with SQL with hands-on using Data Modelling tools like Power designer orErwin. Experience in any one of the Database like Teradata, SQL Server, Hadoop Hive, Snowflake etc Understand and translate business needs into data models supporting strategic solutions. Create and maintain conceptual, logical and physical data models along with corresponding metadata. Develop best practices for standard naming conventions and coding practices to ensure consistency of data models. Recommend opportunities for reuse of data models in new environments. Perform reverse engineering of physical data models from disparate databases and SQL scripts. Evaluate data models and physical databases for variances and discrepancies. Validate business data objects for accuracy and completeness. Analyze data-related system integration challenges and propose appropriate solutions. Develop data models according to company standards. Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces. Review modifications to existing software to improve efficiency and performance. Examine new application design and recommend corrections as required Senior level (12 to 15 years) data modeling experience Knowledge of BFSI domain and Wealth Management business Critical thinking ability, Strong problem-solving capacity Good to have - Python & Power BI hands-on experience. Unix Scripting We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

The role involves creating and maintaining data models that support strategic solutions and translating business needs into data models. Additionally, the position requires guiding team members on project limitations and performance requirements.