(USA) Data Engineer III - Data Ventures

Position Summary...
What you'll do...
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.
About the Data Strategy and Insights Organization:
Our organization focuses on managing and delivering world-class data assets, including creating and maintaining data standards, driving policy compliance, creating partnerships, and developing pipelines and self-service tools. We empower our business to leverage data to fuel growth, driving revenue in our core and building new business model opportunities.
About Data Ventures:

• Data Ventures exists to unlock the full value of Walmart's data by developing and productizing B2B data initiatives that empower merchants and suppliers to make better, faster decisions for the business. As part of this transformation, we're seeking entrepreneurial individuals to help drive data productization from concept to deployment. MUST be well versed with Spark, Scala, Hadoop, and Hive.

You'll make an impact by:

• Problem Formulation: Identifies possible options to address the business problems within one's discipline through analytics, big data analytics and automation.
• Applied Business Acumen: Supports the development of business cases and recommendations. Owns delivery of project activity and tasks assigned by others. Supports process updates and changes to solves business issues.
• Data Governance: Supports the documentation of data governance processes. Supports the implementation of data governance practices.
• Data Strategy: Understands, articulates and applies principles of the defined strategy to routine business problems that involve a single function.
• Data Transformation and Integration: Extracts data from identified databases. Creates data pipelines and transform data to a structure that is relevant to the problem by selecting appropriate techniques. Develops knowledge of current analytics trends.
• Data Source Identification: Supports the understanding of the priority order of requirements and service level agreements. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data.
• Data Modeling: Analyzes complex data elements, systems, data flows, dependencies 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 mart designs. Defines relational tables, primary, foreign keys and stored procedures to create a data model structure. Evaluates existing data models and physical databases for variances and discrepancies. Develops efficient data flows. Analyzes data-related system integration challenges and proposes appropriate solutions.
• Code Development and Testing: Writes code to develop the required solution and application features by determining the appropriate programming language and leveraging business, technical and data requirements. Creates test cases to review and validate the proposed solution design. Creates proofs of concept. Tests the code using the appropriate testing approach. Contributes code documentation, maintains playbooks, and provides timely progress updates.
• Demonstrates up-to-date expertise, applies this to the development and execution.
• Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders. Adapt to competing demands, organizational changes and new responsibilities.
• Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans.

You'll sweep us off our feet if:

• You have consistently high standards, your passion for quality is inherent in everything.
• MUST be well versed with Spark, Scala, Hadoop, and Hive.
• You evangelize an extremely high standard of code quality, system reliability, and performance
• You have a proven track record coding with at least one programming language (e.g., Java, Python)
• You're experienced in computing platforms (e.g., GCP, Azure)
• You're skilled in data modeling & data migration protocols
• Experience with ThoughtSpot, Druid, Big Query and ClickHouse is added advantage.
• Experience with the integration tools like Automic, Airflow

Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor's degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years' experience in
software engineering or related field. Option 3: Master's degree in Computer Science.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data engineering, database engineering, business intelligence, or business analytics, Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field
Primary Location...
805 SE MOBERLY LN, BENTONVILLE, AR 72712, United States of America