Position: Data Engineer III
Job Location: 1375 Crossman Avenue, Sunnyvale, CA 94089
Duties: 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 transform data to 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. Helps identify the most suitable source for data that is fit for purpose. Performs initial data quality checks on extracted data. 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. 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.
Minimum education and experience required: Master’s degree or the equivalent in Computer Science, Engineering or related field; OR Bachelor’s degree or the equivalent in Computer Science, Engineering or related field and 2 years of experience in software engineering or related field.
Skills required: Experience with Data Modeling, data integration and ETL (extract transform load) processes to load data into data lakes and warehouses. Experience with SQL, Hive and NoSQL database systems to retrieve structured data efficiently. Experience with data modeling techniques, creating data pipelines, and designing scalable data architectures to transform raw data into actionable insights and maintaining data warehouse solutions. Experience with big data tools and frameworks including Hadoop, Scala and experience with Spark for analyzing and managing massive datasets to derive insights and enable real time analytics. Experience with Google Cloud Platform (GCP) services including BigQuery, GCS, Dataproc, Pub/Sub to manage data storage, processing and deliver efficient business solutions. Experience programming languages including Python, Java and modeling used in data processing. Experience with integration tools including atomic, airflow for automating, scheduling and orchestrating workflows enabling efficient data pipeline management. Experience with CI/CD pipeline creation, integration and automation to streamline the software development lifecycle and faster deployment. Experience writing and executing Unit Tests, Functional Tests to validate code functionality and data quality to ensure software reliability, improve code quality and optimize performance. Experience with problem-solving and analytical thinking to troubleshoot issues and derive insights from complex datasets. Experience collaborating with cross-functional teams to articulate complex ideas, managing timelines and delivering high quality solutions withing specified deadlines. Employer will accept any amount of experience with the required skills.
Salary Range: $117,000/year to $234,000/year. Additional compensation includes annual or quarterly performance incentives.
Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.
Wal-Mart is an Equal Opportunity Employer.
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