Data Modeler_Director P4_Data & Analytics at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Feb, 26

Salary

0.0

Posted On

11 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data Modeling, Power Designer, Erwin, Teradata, SQL Server, Hadoop Hive, Snowflake, Data Models, Metadata, Best Practices, Reverse Engineering, Data Validation, System Integration, Business Needs, Collaboration, Diversity

Industry

Financial Services

Description

Strong with SQL with hands-on using Data Modeling tools like Power designer or Erwin 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. At least 2 years' relevant experience would generally be expected to find the skills required for this role 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. 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 conceptual, logical, and physical data models while translating business needs into strategic solutions. Additionally, it includes evaluating data models for discrepancies and proposing solutions for data-related system integration challenges.