Data Engineer III

Position: Data Engineer III 

Job Location: 811 Excellence Dr., Bentonville, AR 72716 

Duties: Problem Formulation: Identifies possible options to address the business problems within one's discipline through analytics, big data analytics, and automation. Applied Business Acumen: 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.  Data Governance: Supports the documentation of data governance processes. Supports the implementation of data governance practices.  Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine business problems that involve a single function. 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 Source Identification: 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. 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. Demonstrates up-to-date expertise and applies 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.  

Minimum education and experience required: Master's degree or the equivalent in Computer Science, Information Technology, Engineering, or a related field; OR Bachelor'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: Big Data infrastructure design using Cloud VMs and VPCs, Cloud GPUs, Cloud load balancer, Cloud DNS and CDN, and Serverless; Design and develop Orchestration pipelines using Apache Airflow, Automic, Crontab, Control-M, Google Cloud composer and Azure Data factory (ADF); Design MLOps pipelines using Vertex AI platform, Google AutoML, MLFlow, Dialogflow, Gemini Code Assist, BigQuery ML & Azure Databricks; Design and develop data ingestion batch and streaming pipelines using Spark Connect, Sqoop, Google Cloud Pub/Sub, Google Cloud Dataflow, Apache NiFi, Azure Data Factory, Azure Event hubs, Azure DataBricks and Azure Stream analytics; Design pipelines for processing streaming data using Apache Kafka core, Confluent Kafka connect, Confluent KsqlDB, Apache Spark Streaming, Apache Spark Structured Streaming, Google Cloud functions, Google Data Stream, Google Dataproc and Apache Flink; Develop Data models using ER(Erwin) Studio and Microsoft Visio; Perform SQL operations using Hive, Presto (Trino), Apache Drill, Spark SQL, Hudi with Spark & hive, and Apache Iceberg with Spark; Build ETL Pipelines using Apache Spark, Scala, PySpark, Azure-databricks and Google-databricks; Design and develop Cloud Data Warehousing platforms using Google BigQuery, Google BigLake, Azure Synapse, Azure Data Lake, Snowflake, Apache Hudi and Databricks; Build dashboards and reports using Looker, Looker Studio, Tableau, PowerBI, Plotly, Ggplot2, & Uber H3; Perform data crunching/mining using Tableau Prep, Alteryx, DBT, Dataiku, RapidMiner, KNIME and Weka. Employer will accept any amount of experience with the required skills. 

  Rate of pay: $90,000.00 - 180,000.00/year  

Wal-Mart is an Equal Opportunity Employer.