Previous Walmart is preferred; however, they need a good reference and cant have worked for Walmart in the last 6 months

Mid-level Data Engineering positions

Must-Haves:
Google Cloud Platform
SPARK
Airflow
SQL
Google Cloud Platform Data services
AI/ML IS A super nice to have

Job description: KEY RESPONSIBILITIES:

Design and build scalable ETL/ELT pipelines using Apache Airflow, Apache Spark, and Google Cloud Platform 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 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 skills including complex query optimization and BigQuery-specific capabilities

Experience with Google Cloud Platform data services: BigQuery, Cloud Storage, Pub/Sub, Dataflow

Solid understanding of ETL/ELT patterns and data warehousing principles

PREFERRED QUALIFICATIONS:

Google Cloud Platform 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

Data Engineer(W2 Role) Need Walmart Previous exp candidate

Key skills

About this role