Introduction to Walmart and the Role
Imagine being part of a team that leverages the power of data science to shape the future of retail, impacting millions of customers worldwide. At Walmart, we are committed to helping people save money so they can live better. This mission drives every decision we make, from responsible purchasing to sustainability. As a Data Engineer - Data Ventures, you will play a crucial role in designing information systems that tackle dynamic issues, contributing to the development of retail data science by creating, maintaining, and envisioning data pipelines that our Data Scientists and Analysts can rely on.
About the Information Ventures Team
Our team creates reusable technologies to assist with customer acquisition, onboarding, and enabling sellers, while ensuring a seamless experience for both partners. We also enhance duties and diversity in accordance with Walmart's Everyday Low Cost theory. We create affordability, but we also deliver customized experiences for customers across all channels - online, mobile app, and websites. Our team is responsible for providing support to US Marketplace sellers, focusing on giving quick solutions to the cases/tickets made by sellers, and collaborating with numerous teams across the organization to deliver an exceptional seller experience.
Key Responsibilities
- Data Transformation and Integration: Concentrates data from identified databases, creates data pipelines, and transforms data into a structure relevant to the problem by selecting appropriate methodologies. Develops data on current analysis trends.
- Data Source Identification: Supports the understanding of the need order of requirements and service level agreements. Identifies the most suitable source for data that is good for purpose. Performs initial data quality checks on extracted data.
- Data Modeling: Investigates complex data elements, systems, data streams, conditions, and relationships to contribute to conceptual, physical, and logical data models. Develops the Logical Data Model and Physical Data Models, including data warehouse and data store designs. Defines social tables, primary and foreign keys, and stored procedures to create a data model architecture. Assesses existing data models and physical databases for deviations and inconsistencies. Creates efficient data flows. Investigates data-related system integration challenges and proposes suitable solutions.
- Code Development and Testing: Writes code to develop the necessary solution and application features by determining the appropriate programming language and using business, technical, and data requirements. Creates experiments to review and validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains a playbook, and provides timely development updates.
- Applied Business Acumen: Provides recommendations to business partners to address complex business issues. Creates business cases for projects with an expected return on investment or cost savings. Translates business requirements into tasks, activities, and tasks and aligns to overall business process. Acts as the need arises with substantial solutions and results. Suggests new processes and approaches to working.
- Data Governance: Outlines, aligns, and reports data governance operations and recommendations. Implements data governance practices in collaboration with business partners and peers. Interprets organizational and regulatory policies on data. Instructs others on data governance processes, practices, policies, and rules. Provides recommendations on required updates or contributions to data governance policies, practices, or rules.
Essential Qualifications
- Bachelor's degree in Computer Science or related field.
- At least 2 years of experience in programming or a related field.
- Knowledgeable with Hadoop, Spark, Cloud, Python/PySpark, and Java, Streaming, Kafka, Backend.
- Proven history of coding with at least one programming language (e.g., Scala, Python).
- Familiarity with one of the cloud computing platforms (e.g., GCP, Azure).
- Skilled in data modeling and data migration protocols.
Preferred Qualifications
- Experience with GCP, Data warehousing, BI is preferred.
- Experience with integration tools like Automic, Windstream.
- Experience in building highly scalable Big Data solutions and ETL ecosystems.
- Knowledge of Data bricks is an additional benefit.
- Hands-on experience with NoSQL like Cosmos DB alongside RDBMS like MySQL, Postgres is a plus.
- Hands-on working experience with any messaging platform like Kafka is preferred.
Career Growth Opportunities and Learning Benefits
At Walmart, we believe in investing in our associates' growth and development. As a Data Engineer - Data Ventures, you will have the opportunity to work on complex and exciting projects, collaborating with cross-functional teams to drive business results. You will also have access to training and development programs, mentorship, and career advancement opportunities. Our goal is to help you build a successful and fulfilling career in tech, with opportunities to gain new skills and experience that can be applied to various industries.
Work Environment and Company Culture
We utilize a hybrid approach to working, which is primarily in-office combined with virtual when not on-site. Our campuses serve as a hub to enhance collaboration, unite us for purpose, and deliver on business needs. This approach helps us make faster decisions, eliminate location barriers across our global team, and be more flexible in our personal lives. At Walmart, we value diversity, equity, and inclusion, and we are committed to creating a workplace culture that is inclusive and respectful of all associates.
Compensation, Perks, and Benefits
We offer a competitive salary range of $70-$80 per year, as well as a comprehensive benefits package, including performance-based incentives, 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, and various health plans. We also provide opportunities for professional growth and development, recognition and rewards for outstanding performance, and a dynamic and supportive work environment.
Conclusion
If you are a motivated and talented Data Engineer - Data Ventures looking to make a real impact in the retail industry, we encourage you to apply for this exciting opportunity. As a member of our team, you will have the chance to work on challenging projects, collaborate with talented professionals, and contribute to the development of innovative solutions that drive business results. Don't miss out on this opportunity to launch your career in tech and be part of a team that is shaping the future of retail. Apply now and join our team of innovators and leaders!
How to Apply: All eligible candidates canby reading the official notification carefully, filling out the application form, attaching the required documents and passport-size photo with signature, and submitting it. Apply Now
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