Introduction to Walmart and the Role
Imagine being part of a team that shapes the future of retail through data science and technology. 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 unleashing the power of retail data science by designing, creating, and maintaining data pipelines that our Data Scientists and Analysts can rely on. You will be responsible for contributing to a coordination layer of complex data transformations, refining raw data from sources into designated, meaningful data assets for use in a represented manner.
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. We focus on providing quick solutions to the cases/tickets created by sellers. We interact with multiple teams across the organization to provide an exceptional seller experience.
Key Responsibilities
- Data Transformation and Integration: Concentrates data from identified databases. Creates data pipelines and transforms data into a structure that is 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 Conceptual 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 playbook, and provides timely development updates.
- Applied Business Acumen: Provides recommendations to business stakeholders to address complex business problems. 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 stakeholders and peers. Interprets organization 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 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
- 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
- Hands-on working experience with any messaging platform like Kafka
Skills and Competencies
To be successful in this role, you will need to demonstrate exceptional technical skills, including proficiency in programming languages, data modeling, and data governance. You will also need to exhibit strong business acumen, with the ability to translate business requirements into technical solutions. Excellent communication and collaboration skills are essential, as you will be working with cross-functional teams to deliver results.
Career Growth Opportunities and Learning Benefits
At Walmart, we are committed to helping our associates grow and develop in their careers. As a Data Engineer - Data Ventures, you will have access to training and development programs, including opportunities to learn new skills and technologies. You will also have the chance to work on complex and challenging projects, with the support of a talented and experienced team.
Work Environment and Company Culture
Our work environment is dynamic and fast-paced, with a focus on collaboration and innovation. We believe in fostering a culture of inclusivity and diversity, where everyone feels valued and respected. We offer a range of benefits, including flexible working arrangements, professional development opportunities, and a competitive salary and benefits package.
Compensation, Perks, and Benefits
We offer a competitive salary range of $70-$80 per year, depending on experience. You will also be eligible for a range of benefits, including performance-based bonuses, 401(k) matching, stock purchase plans, paid maternity and parental leave, PTO, and comprehensive health plans.
Conclusion
If you are a motivated and talented Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. As a Data Engineer - Data Ventures, you will have the chance to work on complex and challenging projects, with the support of a talented and experienced team. You will also have access to training and development programs, including opportunities to learn new skills and technologies. Don't miss out on this opportunity to join our team and help shape the future of retail.
How to Apply
To apply for this role, please submit your application through our website. You will need to provide your resume, cover letter, and any other supporting documents. We look forward to receiving your application and discussing this opportunity further.
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