Senior, Data Engineer

About the role

Walmart’s Corporate Tech and Services is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart. As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide.

What you'll do

• Design, build, and maintain scalable batch, streaming, and near-real-time data pipelines that support post-payment audit, payment integrity, supplier reconciliation
• Create reliable curated datasets, semantic data models, feature-ready tables, and reusable data products from invoice, purchase order, receiving, supplier, claims
• Develop robust ELT/ETL and streaming workflows using SQL, Python, PySpark, Apache Flink, DBT, orchestration tools, event streaming platforms, and cloud data platforms
• Build streaming and change data capture pipelines that support event-time processing, late-arriving data, replayability, idempotency, backfills
• Design and manage lakehouse data products using table formats such as Apache Hudi, Apache Iceberg, or Delta Lake to support ACID transactions, incremental reads

What you need

• 6–10 yrs of experience
• SQL
• Python
• Spark
• ETL
• dbt
• Data modelling
• PhD or B.Tech or B.E. or B.Sc or BCA

Good to have

• Airflow
• Kafka
• BigQuery
• Reconciliation
• Machine learning
• LLMs