9 days ago
Chennai, IndiaStaff+
Responsibilities
- Lead the design and architecture of scalable, resilient, high-performance data platforms on Google Cloud.
- Define data engineering practices covering data modeling, pipeline orchestration, governance, data products, and platform standardization.
- Drive end-to-end batch and real-time data pipeline development using Scala, Spark, and GCP services.
- Ensure code quality, performance, scalability, production stability, incident management, and continuous improvement.
- Manage, mentor, and develop a high-performing team of data engineers, including performance management and succession planning.
- Translate business priorities into data engineering roadmaps and lead stakeholder discussions on architecture, trade-offs, and technology adoption.
- Drive platform modernization, migration strategies, cloud adoption, automation, AI-driven workflows, and intelligent data pipelines.
Requirements
- 10+ years of experience in data engineering, big data, or related domains.
- Strong hands-on expertise with Scala, Apache Spark, Hadoop ecosystem technologies, and distributed computing frameworks.
- Deep experience with Google Cloud Platform and services including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer (Airflow).
- Proven experience designing and architecting large-scale data platforms and delivering scalable, performant data pipelines.
- Strong experience with data modeling, ETL/ELT frameworks, pipeline orchestration, and real-time streaming technologies such as Kafka and Pub/Sub.
- Demonstrated experience leading and managing engineering teams.
- Experience with data product architecture, data monetization use cases, multi-cloud or hybrid cloud environments, and data governance, security, and compliance frameworks.
- Experience in retail, e-commerce, or large-scale enterprise data platforms.
- Strong system design, problem-solving, strategic thinking, stakeholder communication, leadership, ownership, and accountability skills.
- Minimum qualification options include a bachelor's degree in Computer Science with 4 years of software engineering or related experience, 6 years of software engineering or related experience, or a master's degree in Computer Science with 2 years of software engineering or related experience, plus 3 years of experience in data engineering, database engineering, business intelligence, or business analytics.
Benefits
- Performance-based incentive awards, maternity and parental leave, paid time off, health benefits, and other benefits.
- Based in the Bangalore or Chennai office for daily work, with flexibility to manage personal lives.
Tech Stack
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.