About the Role
We're on a mission to revolutionize the retail industry by harnessing the power of data science and technology. As a key member of our Data Ventures team, you'll play a crucial role in shaping the future of retail by developing innovative data models and solutions that drive business growth and customer satisfaction.
About the Team
Our Data Engineering team is a dynamic and collaborative group of experts who are passionate about building scalable and efficient data pipelines to unlock actionable insights in real-time. We're a team of innovators, problem-solvers, and data enthusiasts who are dedicated to making a positive impact on our customers' lives.
Key Responsibilities
- 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.
About You
We're looking for a highly skilled and experienced data modeler who can bring their expertise to our team. If you have a passion for data science, a strong academic record, and a minimum of 10+ years of hands-on data warehousing experience, we want to hear from you!
Requirements
- 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 BigData, Hive, 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 a variety of stakeholders, ability to negotiate with and influence others
Preferred Qualifications
- Data Modeling, Master's degree in Computer Engineering, Computer Science, Information Systems, Relevant industry experience (for example, retail, supply chain, eCommerce, healthcare, etc.)
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world's leading retailer who make an epic impact and are at the forefront of the next retail disruption.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity – unique styles, experiences, identities, abilities, ideas, and opinions – while being inclusive of all people.
How to Apply
Ready to join our team? Click the link below to apply now!
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