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STAFF, DATA ENGINEER

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STAFF, DATA ENGINEER in Others new

  • Walmart
  • Full time
  • Email
  • Bengaluru, India

Responsibilities

  • Design, build, and operate large-scale batch and streaming data pipelines.
  • Develop and maintain platform services, APIs, and distributed systems supporting data pipelines.
  • Apply software engineering, system design, domain-oriented design, low-level design, testing, code review, and CI/CD practices.
  • Integrate embeddings, vector search, LLM-assisted data quality, anomaly detection, agentic monitoring, and AI-assisted schema and lineage documentation.
  • Build feature pipelines, model-serving data paths, and data infrastructure supporting MLOps.
  • Own data quality, observability, governance, SLO/SLA performance, incident management, and operational excellence.
  • Lead architecture and design reviews across data engineering and platform engineering.
  • Set technical direction, mentor engineers, and influence broader data engineering standards.
  • Evaluate and adopt Big Data, cloud, and AI technologies where they improve reliability, productivity, or business value.

Requirements

  • 8+ years of professional software engineering experience with significant hands-on data engineering at scale.
  • Strong proficiency in Java and Python and strong working knowledge of Spark are required.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Minimum qualifications include either a bachelor's degree in Computer Science plus 4 years of software engineering experience, 6 years of software engineering experience, or a master's degree in Computer Science plus 2 years of software engineering experience, along with 3 years of data engineering, database engineering, business intelligence, or business analytics experience.
  • Deep experience with Spark, Hadoop/HDFS, Hive, Kafka, workflow orchestration such as Airflow, batch and streaming processing, and large-scale data transformation.
  • Experience with data modeling, ETL/ELT pipeline design, data quality, observability, data governance, and lakehouse architectures such as Delta Lake, BigQuery, and Databricks.
  • Hands-on experience with model APIs, GenAI/LLM tooling, agentic workflows, embeddings, vector search, and MLOps practices including feature stores, model lifecycle, and retraining pipelines.
  • Working knowledge of microservices, API design, Kubernetes or equivalent orchestration, CI/CD, and cloud-native practices.
  • Strong distributed-systems, event-driven, asynchronous-processing, fault-tolerance, system-design, domain-oriented-design, and low-level-design skills.
  • Strong software engineering craftsmanship, technical judgment, autonomy, and ability to translate ambiguous problems into execution plans.

Benefits

  • Performance-based incentive awards, maternity and parental leave, PTO, health benefits, and other benefits.
  • Daily work is based in the Bangalore or Chennai office, with flexibility to manage personal lives.

Walmart

Walmart is a global omnichannel retailer that sells groceries, general merchandise, and services through Walmart and Sam's Club stores and online marketplaces for consumers and small businesses. Its model spans physical retail, e-commerce, advertising, and a vast supply chain, plus pharmacy, heal...

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