Software Engineer III

Walmart•Bentonville, AR

5d•$94,557 - $180,000•Onsite

About The Position

The Software Engineer III will be responsible for identifying business problems and developing solutions through analytics, big data analytics, and automation. This role involves supporting the development of business cases, owning project delivery, and contributing to process updates. The engineer will solve business issues, support data governance documentation and implementation, and apply strategic principles to routine business problems. Key activities include extracting and transforming data, developing data pipelines, staying current with data science trends, and understanding requirements and service level agreements. The role also involves identifying suitable data sources, performing data quality checks, analyzing complex data elements for data modeling, developing logical and physical data models (including data warehouse and data mart designs), defining relational tables, and evaluating existing data models. Additionally, the engineer will develop efficient data flows, analyze data-related system integration challenges, create training documentation, and train end-users. This position will oversee less experienced programmers, provide system troubleshooting support, write code for solutions and application features, create and execute test cases, develop proofs of concept, test code, and deploy software to production. The role requires contributing code documentation, maintaining playbooks, and providing progress updates. The engineer must demonstrate up-to-date expertise, apply it to action plans, provide expert advice, align efforts with business needs, and build commitment for perspectives.

Requirements

Master’s degree or the equivalent in Computer Science, or a related field; OR Bachelor’s degree or the equivalent in Computer Science, or a related field plus 2 years of experience in software engineering or related experience.
Programming in an object-oriented programming language (Python or Scala)
Proficient in writing and optimizing SQL queries
Designing and developing data pipelines, including managing file transfers to and from cloud storage and performing data transformations
Implementing and managing CI/CD processes and integrating them with data processing, Data warehouse and orchestration platforms
ETL and data warehousing concepts, including developing Spark applications to perform ETL processes from various data sources to the data warehouse
Technical discovery and requirements analysis and ensuring consistent technical delivery through testing and peer code reviews
Troubleshooting and resolving issues in data pipelines, Spark jobs, and cluster operations
Big data ecosystems, governance, storage, scalability
Diagnosing and addressing complex technical issues and system performance bottlenecks
Documenting troubleshooting processes and solutions for knowledge sharing and future reference
Cloud-based big data platforms and services
Spark best practices and performance optimization techniques
Employer will accept any amount of graduate coursework, graduate research experience or professional experience with the required skills.

Responsibilities

Identifies possible options to address the business problems within one's discipline through analytics, big data analytics, and automation.
Supports the development of business cases and recommendations.
Owns delivery of project activity and tasks assigned by others.
Supports process updates and changes.
Solves business issues.
Supports the documentation of data governance processes.
Supports the implementation of data governance practices.
Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function.
Extracts data from identified databases.
Creates data pipelines and transforms data into a structure that is relevant to the problem by selecting appropriate techniques.
Develops knowledge of current data science and analytics trends.
Supports the understanding of the priority order of requirements and service level agreements.
Help identify the most suitable source for data that is fit for purpose.
Performs initial data quality checks on extracted data.
Analyzing complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical data models.
Develop the Logical Data Model and Physical Data Models including data warehouse and data mart designs.
Defines relational tables, primary and 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.
Creates training documentation and trains end-users on data modeling.
Oversee the tasks of less experienced programmers and stipulates system troubleshooting supports.
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.
Deploying software to production servers.
Contributes code documentation, maintains playbooks, and provides timely progress updates.
Demonstrates up-to-date expertise and apply this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales.