9 days ago
Bengaluru, IndiaSenior
Responsibilities
- Design and architect scalable, resilient, and high-performance data platforms on Google Cloud.
- Develop end-to-end batch and real-time data pipelines using Scala, Apache Spark, and ETL/ELT frameworks.
- Build and operate pipelines with BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and Composer/Airflow.
- Apply data modeling, pipeline orchestration, data governance, platform standardization, and data engineering best practices.
- Ensure code quality, performance, scalability, production stability, incident response, and continuous improvement.
- Lead architecture discussions, platform modernization, migration strategies, and cloud adoption initiatives.
- Translate business priorities into data engineering roadmaps and collaborate with product, architecture, business, and senior leadership stakeholders.
- Lead and manage engineering teams and contribute to team growth and retention.
- Use automation, AI-driven workflows, and intelligent data pipelines to improve efficiency and scalability.
- Deliver measurable improvements in data availability, cost efficiency, and time-to-insight.
Requirements
- At least 3 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.
- Experience designing and architecting large-scale data platforms and developing data products or data monetization use cases.
- 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.
- Exposure to multi-cloud or hybrid cloud environments and familiarity with data governance, security, and compliance frameworks.
- Experience in retail, e-commerce, or large-scale enterprise data platforms.
- Strong data structures, algorithms, problem-solving, strategic thinking, stakeholder communication, ownership, and leadership skills.
- Minimum qualification alternatives include a bachelor's degree in Computer Science plus 2 years of software engineering or related experience, 4 years of software engineering or related experience, or a master's degree in Computer Science.
Benefits
- The role is based in the Bangalore or Chennai office for daily work, with flexibility to manage personal lives.
- Benefits include performance incentive awards, maternity and parental leave, paid time off, health benefits, and other benefits.
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.