Staff Data Engineer

What you'll do...

Position: Staff Data Engineer

Job Location: 805 Moberly Lane, Bentonville, AR 72716

Duties: Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Applied Business Acumen: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to overall business strategy. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new processes and ways of working. Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or guidelines. Data Source Identification: Understands the priority order of requirements and service level agreements. Defines and identifies the most suitable sources for required data that is fit for purpose, referring to external sources as required. Performs initial data quality checks on the extracted data. Reviews the deliverables of junior associates and provides guidance. Data Transformation and Integration: Builds the infrastructure required for optimal transformation and integration from a wide variety of data sources using appropriate data integration technologies. Uses modern tools, techniques, and architectures to automate the most common, repeatable and tedious data preparation and integration tasks partially or completely. Deploys pipelines using scheduling and orchestration frameworks. Evaluates impacts of data issues and risks at an early stage. Identifies needs and creates methods to fuse and reshape complex, multi-source data and make it usable for modeling. Updates knowledge of current and emerging big data analytics and data science trends and techniques. Data Modeling: Assembles large, complex data across all data platforms (for example, relational, dimensional, NoSQL) and data tools. Builds complex logical and conceptual models and provides guidance to team on physical data models. Identifies and defines the appropriate techniques for exposing data to other systems. Reviews and provides guidance and inputs on all data modeling activities to team members. Creates and maintains critical data documentation and metadata that allows data to be understood and leveraged as a shared asset. Assists in defining data modeling standards and foundational best practices. Provides inputs to the architectural design to make best use of the available resources, given goals, and expected loads. Code Development and Testing: Reviews the solution and application design to ensure it meets business, technical, and data requirements. Identifies language and libraries to use in the development process. Maps test cases to business and functional requirements. Creates proof of concepts. Reviews and troubleshoots code in line with final designs. Identifies and recommends the appropriate testing methodology. Identifies the environment(s) for deployment. Identifies and recommends modifications of application based on different environment requirements. Identifies modifications needed for scalability and drives the change. Monitors applications in production and leads development of patches where required. Reviews and ensures all code documentation is complete and updated periodically. Review work of Junior associates in the team. Data Strategy: Understands, articulates, interprets, and applies the principles of the defined strategy to unique, moderately complex business problems that may span one or main functions or domains.

Minimum education and experience required: Master's degree or the equivalent in Computer Science or a related field plus 2 years of experience in software engineering or related experience OR Bachelor’s degree or the equivalent in Computer Science or a related field plus 4 years of experience in software engineering or related experience OR 6 years of experience in software engineering or related experience.

Skills Required: Must have experience with: computer architectures, operating systems, parallel and distributed computing; coding in programming languages c, c++ and python; programming with GPUs (cuda); Dev-ops and Continuous Integration; writing technical documents, articles and papers; Big data analysis using Hadoop, hive and spark; networking and protocols for system communications (TCP, UDP, HTTP); Data engineering; Machine learning algorithms and libraries; Linux; and high performance computing, parallel and distributed systems. Employer will accept any amount of experience with the required skills.

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Wal-Mart is an Equal Opportunity Employer.