Data EngineerLocation: Bentonville, Arkansas (onsite)We are seeking a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka, and cloud services (GCP) to ingest, transform, and deliver data for analytics and ML.Responsibilities:Design, develop, and maintain ETL/ELT data pipelines for batch and real-time data ingestion, transformation, and loading using Spark (PySpark/Scala) and streaming technologies (Kafka, Flink).Build and optimize scalable data architectures, including data lakes, data warehouses (BigQuery), and streaming platforms.Performance Tuning: Optimize Spark jobs, SQL queries, and data processing workflows for speed, efficiency, and cost-effectiveness.Data Quality: Implement data quality checks, monitoring, and alerting systems to ensure data accuracy and consistency.