Position: Senior Data Engineer
Job Location: 805 SE Moberly Lane, Bentonville, AR 72712
Duties: Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets. To understand, articulate, and apply principles of the defined strategy to routine business problems that involve a single function. Data Source Identification. Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g., SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To support 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 Transformation and Integration. Internal and external data sources including how they are collected, where and how they are stored, and interrelationships, both within and external to the organization; Techniques like ETL batch processing, streaming ingestion, scrapers, API and crawlers; Data warehousing service for structured and semi-structured data, or to MPP databases such as Snowflake, Microsoft Azure, Presto or Google BigQuery; Pre-processing techniques such as transformation, integration, normalization, feature extraction, to identify and apply appropriate methods; Techniques such as decision trees, advanced regression techniques such as LASSO methods, random forests etc; Cloud and big data environments like EDO2 systems. To extract 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 data science and analytics trends. Tech. Problem Formulation. Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To translate/ co-own business problems within one's discipline to data related or mathematical solutions. Identifies appropriate methods/tools to be leveraged to provide a solution for the problem. Shares use cases and gives examples to demonstrate how the method would solve the business problem. Understanding Business Context. Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To provide recommendations to business stakeholders to solve complex business issues. Develops business cases s 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 and develops domain specific artifact. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Identify and recommend relevant business insights pertaining to their area of work.
Minimum education and experience : Master’s degree or the equivalent in Computer Science, Information Technology, Engineering, or related field plus 1 year of experience in product management or related experience; OR Bachelor’s degree or the equivalent in Computer Science, Information Technology, Engineering, or related field plus 3 years of experience in product management or related experience.
Skills required: Must have experience with: Creating product roadmaps, value-based release strategies, scope slicing, and breaking down complex products into prioritized backlogs for engineering teams; Creating Product Requirements Documents (PRDs) using Confluence, and MS Word; Creating and defining product specs from ideation through design, build, release, and post release analysis; Aligning strategic priorities with business needs by executing Usability Studies, UX Research, Financial Modeling, and Return on Investment ROI Analysis; Recommending new technical features using the following research methodologies Customer Interviews, Case Study Research, Surveys, and AB Testing; Analyzing the data to Identify and defining Key Performance Indicators (KPI) to present findings and value propositions via Power BI and Excel; Driving process changes and change management by ensuring critical business issues and core product strategies are addressed in product decisions; Developing flow diagrams and mockups using Lucid Charts; Designing and implementing software platforms using microservices architecture; Designing and implementing REST API web services using Java; Building products, leading technology teams, managing cadences via Agile Methodology by Scrum and Kanban framework. Employer will accept any amount of experience with the required skills.
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Wal-Mart is an Equal Opportunity Employer.