Senior Manager I, Data Engineering

What you'll do...

Position: Senior Manager I, Data Engineering

Job Location: 702 SW 8th Street, Bentonville, AR 72716

Duties: 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 data science and analytics trends. 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 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. Oversees the tasks of less experienced programmers and stipulates system troubleshooting supports. 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. Deploys software to production servers. Contributes code documentation, maintains playbooks, and provides timely progress updates. 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 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. Supervises 6 [Data Engineer III (5), Senior Data Engineer (1)].

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

Skills required: Must have experience with: designing scalable, fault tolerant architecture for multiple critical real time data pipelines; building scalable microservices using Java and Oracle; conducting assessments to identify best cloud solutions for implementing a cost effective scalable and repeatable data and analytics solutions; building Apps with Distributed computing using Spark; building complex Realtime data pipelines in Java; designing and developing applications for NoSQL Databases like MongoDB or Cosmos; Data Governance; Logical and Physical Data Modeling; building Realtime systems using Kafka as Message Broker; and translating business requirements into long-term information/data architecture solutions. Employer will accept any amount of experience with the required skills.

#LI-DNP #LI-DNI

Wal-Mart is an Equal Opportunity Employer.