Senior Data Engineer

Job summary

Hi, Data Engineer x 4 Location: Bentonville AR (day one) CTH – 12 months KEY RESPONSIBILITIES - Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow - Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries - Build and maintain data pipelines feeding AI/ML feature stores and forecasting models - Collaborate with AI Devel

Qualifications

• 3+ years (Intermediate) or 5+ years (Specialist) of data engineering experience
• Hands-on experience with Apache Airflow for pipeline orchestration
• Proficiency in Apache Spark for large-scale data processing
• Strong SQL
• GCP Professional Data Engineer certification
• Experience supporting ML/AI data infrastructure (feature engineering, training datasets)
• Familiarity with real-time streaming (Kafka, Dataflow/Flink)
• Retail or large-scale consumer data experience
• Please share the below details:
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Responsibilities

• Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and GCP Dataflow
• Develop and maintain BigQuery data models, schemas, and performance-optimized SQL queries
• Build and maintain data pipelines feeding AI/ML feature stores and forecasting models
• Collaborate with AI Developers to ensure high-quality, low-latency data access for model training
• Manage and optimize Cloud Composer DAGs and pipeline orchestration
• Implement data quality monitoring, alerting, and lineage tracking
• Participate in data platform architecture decisions and documentation
• Required

Industry

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