Staff Data Engineer

Staff Data Engineer at Walmart Global Tech will own data pipelines, models, and platform decisions, building reliable, high‑throughput infrastructure that powers AI, analytics, and decision‑making across Walmart’s global operations. They will translate business problems into data solutions, design and automate ETL/ELT pipelines, build logical/physical models, and establish data governance practices. They will mentor engineers, influence architecture, and collaborate cross‑functionally. This senior individual‑contributor role is based in Bangalore, Karnataka, with flexibility for personal life management.

• Translate business problems into data‑driven solutions
• Identify and vet internal/external data sources against SLAs and quality standards
• Design and automate ETL/ELT pipelines across diverse sources
• Build and maintain logical/physical data models across relational, dimensional, and NoSQL platforms
• Review designs and code, fix scalability issues, and maintain production stability
• Establish and implement data‑governance practices and standards
• Define and implement dimensional models and semantic layers for BI and AI use cases
• Mentor engineers and analysts in data modeling and engineering best practices
• Influence enterprise data architecture strategy and technology decisions

• 12+ years of professional data engineering experience
• Expertise in dimensional data modeling (facts, dimensions, grain, surrogate keys, conformed dimensions, SCD Type 1/2, snapshot modeling)
• Strong hands‑on expertise in Python and SQL
• Production experience with Apache Spark, Apache Hive, and Scala
• Hands‑on experience with Azure and Google BigQuery
• Experience building, deploying, and operating pipelines with orchestration frameworks (e.g., Airflow, Dagster)
• Hands‑on experience with Apache Kafka or equivalent for real‑time streaming pipelines
• Proven experience implementing data quality frameworks and ensuring data governance