(USA) Manager II, Data Modeling - Data Ventures

Position Summary...

What you'll do...

At Walmart, we help people save money, so they can live better. This mission serves as the foundation for every decision we make and drives us to create the future of retail. We can’t do that without the best talent – talent that is innovative, curious, and driven to create exceptional experiences for our customers.

Do you have boundless energy and passion for engineering data used to solve dynamic problems that will shape the future of retail? With the sheer scale of Walmart’s environment comes the biggest of big data sets. As a Walmart Data Engineer, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on. You will be responsible for contributing to an orchestration layer of complex data transformations, refining raw data from source into targeted, valuable data assets for consumption in a governed way. You will partner with Data Scientists, Analysts, other engineers, and business stakeholders to solve complex and exciting challenges so that we can build out capabilities that evolve the retail business model while making a positive impact on our customers’ lives.

You’ll make an impact by:

• Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models.
• Create logical and physical data models using best practices to ensure high data quality and support application, batch, and interactive use cases.
• Create, optimize, and update logical and physical data models to support new and existing projects according to company standards.
• Create data modeling solutions optimized for relational, dimensional, and NoSQL databases.
• 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 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.
• 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 if required.

You’ll sweep us off our feet if:

• Good academic record and graduated (B.E/ B.Tech / M.E / M.Tech/ MBA)
• At least 10+years of hand-on data warehousing experience
• Strong knowledge of different data modeling techniques for data warehousing - 3NF, Dimensional, hybrid etc.
• Experience working on large (100 TB+) scale data warehouses (DW)/ operational data stores (ODS)
• Significant experience in building data models for MPP, Relational and NoSQL technologies such as Teradata, SQL*Server, Hadoop, Cassandra, Cloud DBs like Big Query and/or Snowflake
• Good experience of working with globally distributed teams in a collaborative and productive manner
• Excellent interpersonal and communication skills across variety of stakeholders, ability to negotiate with and influence others.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...