1 day ago
Chennai, IndiaSenior
Responsibilities
- Design, build, and operate batch and streaming data pipelines using Spark, Java, and Python.
- Apply software engineering, automated testing, code review, system design, and low-level design practices to data engineering work.
- Contribute to services, APIs, distributed systems, and broader platform engineering code when needed.
- Apply AI, GenAI, embeddings, vector search, LLM-assisted data quality, anomaly detection, and agentic monitoring to data platform problems.
- Partner with data scientists and ML engineers on feature pipelines, model-serving data paths, and MLOps infrastructure.
- Own data quality, observability, governance, reliability, and operational excellence for pipelines and datasets.
- Participate in architecture and design reviews across data engineering and platform engineering.
- Provide technical judgment in reviews, mentor early-career engineers, and improve engineering quality without formal management responsibility.
- Evaluate emerging Big Data, cloud, and AI technologies for reliability, productivity, and business value.
Requirements
- At least five years of professional software engineering experience with hands-on data engineering at scale, or the stated degree-and-experience alternatives.
- At least two years of experience in data engineering, database engineering, business intelligence, or business analytics.
- Strong proficiency in Java and Python and strong working knowledge of Spark for distributed data processing.
- 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, or Databricks.
- Hands-on experience integrating model APIs and GenAI/LLM tooling, building agentic workflows, using embeddings/vector search, and applying MLOps practices such as feature stores 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, and low-level design skills.
- Strong software engineering craftsmanship, including testing strategy, code review standards, design patterns, and high-throughput system design.
- Ability to translate data and business problems into technical execution plans, exercise ownership and technical judgment, and work autonomously in a 0-to-1 environment.
- Additional experience with Go, C++, or Scala is preferred.
- A bachelor's or master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience, is accepted under the stated qualification options.
Benefits
- Incentive awards may be available based on performance.
- Benefits include maternity and parental leave, PTO, health benefits, and other company benefits.
- The role is based in the Bangalore or Chennai office for daily work, with flexibility to manage personal lives.
Tech Stack
Apache AirflowApache HadoopApache HiveApache KafkaApache SparkC++DatabricksGoGoogle BigQueryJavaKubernetesPythonScala
Categories
Data Engineering
About 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, health, and financial services. Founded in 1962 and headquartered in Bentonville, Arkansas, Walmart Inc. is a public company on the NYSE (WMT) operating in the U.S. and multiple international markets.