Data Engineer III
Walmart · Chennai · 3+ yrs experience · Posted 2026-04-29
Tech stack: AWS, Azure, C++, GCP, Go, Java, Kafka, Linux, Python, SQL, Scala
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About the role
The Global Data Organization @ Walmart Global Tech in Chennai p rovides support for Global Data, Data Foundation Infrastructure, Visualization Portal, Machine Learning Platform, Customer pl atform a nd Data Science products that form part of core platforms and services that drive Walmart business. The group also develops analytical products for several verticals like merchandising, supply chain, pricing, customer, HR etc. Our team which is part of Global Data Chennai is responsible for creating and supporting the next generation Data Platform which comprises of building a central data lake, regional data lake for compliance reasons, frameworks that support - data ingestion in batch and real time manner, data processing, data quality and governance implementation and surfacing this data & metadata to users. The team plays an i mportant role to make Walmart data driven, by enabling all domain teams to use the platform and frameworks. User experience is key for the success for this team.
We are looking for Data Engineer 3 to join M arket Place team at Walmart Global Tech. We know applying for and taking on a new job at any company requires a leap of faith. We want you to feel comfortable and excited to apply at Walmart Global Tech. The team at Ch ennai has an open fun culture where each idea is challenged as well as respected. If you are a software geek, who loves to solve complex problems and are interested to learn new things daily then Walmart Global Tech is the place for you
Responsibilities:
- As a part of M arket Place team which works for multiple Walmart markets you will have a significant impact on Walmart’s business. You will play a crucial role in optimizing the M arket Place processes and ensure efficient utilization.
- The Data Engineer 3 is the one who works in partnership with the application developers to pursue efficiency and quality in the final product. This individual has a strong quality assurance mentality and is experienced in design, development and testing of Data Lake and ETL pipelines. meets the acceptance criteria of the stakeholders in security, performance, functionality or all of the above. Ability to create automation is a plus
- You will design and build data pipelines to analyze huge datasets, create powerful visualizations to derive insights and partner with the product team to brainstorm and act on these opportunities. You will build and maintain infrastructure and platform to derive maximize data driven impact. You must be able to accurately prioritize projects, make sound judgments, work to improve the processes, and get the right things done.
- Develop and implement best-in-class Data pipeline and Data Lake, Consumption/Acceleration layers to ensure best capacity utilization and meet SLAs.
- Demonstrate and transform business requirements to code, specific analytical reports and tools.
- Design, build, test and deploy cutting edge solutions at scale, impacting multi-billion-dollar business.
- Work closely with product owner and technical lead and play a major role in the overall delivery of the assigned project/enhancements.
- Learn & Research on the go and work on both new requests/projects as well as support production.
- Provide business insights while leveraging internal tools and systems, databases and industry data.
- Own a data subject and ensure availability and accuracy
- Document requirements, data lineage, subject matter in both business and technical terminology.
- What You'll' Bring
- Bachelor’s degree in computer science or related discipline with 3 + years’ experience
- Minimum 2 years of experience in Big Data and distributed computing.
- Proven experience building pipelines on Big Data Technologies/Stack – Hadoop, Spark, Hive, dataproc, BigQuery, Kafka and A irflow Scheduler to name a few.
- Deep understanding of the Hadoop ecosystem and strong conceptual knowledge in Hadoop architecture components and experience in working on at least one Big Data technology with Java, Python or Scala.
- Strong knowledge of deploying and managing applications in AWS or Azure or GCP.
- Strong scripting skills to process large amount of data and highly proficient in SQL.
- Preferred skills below
- Solid knowledge of Linux systems with the ability to troubleshoot issues in complex, distributed, multi-tier architectures.
- Experience in secure, scalable and highly available services.
- Experience with data science and machine learning is a plus.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies.
- Excellent hands-on working knowledge and experience with object-oriented/object function scripting languages: Python, Java, C++, Scala,
- Good to have experience Micro-services frameworks
- Good written and verbal communication skills.
Qualifications:
- 2 years of experience in Big Data and distributed computing.
- Proven experience building pipelines on Big Data Technologies/Stack – Hadoop, Spark, Hive, dataproc, BigQuery, Kafka and A irflow Scheduler to name a few.
- Deep understanding of the Hadoop ecosystem and strong conceptual knowledge in Hadoop architecture components and experience in working on at least one Big Data technology with Java, Python or Scala.
- Strong knowledge of deploying and managing applications in AWS or Azure or GCP.
- Strong scripting skills to process large amount of data and highly proficient in SQL.
- Preferred skills below
- Solid knowledge of Linux systems with the ability to troubleshoot issues in complex, distributed, multi-tier architectures.
- Experience in secure, scalable and highly available services.
- Experience with data science and machine learning is a plus.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies.
- Excellent hands-on working knowledge and experience with object-oriented/object function scripting languages: Python, Java, C++, Scala,
- Good to have experience Micro-services frameworks
- Good written and verbal communication skills.
Qualifications
- 2 years of experience in Big Data and distributed computing.
- Proven experience building pipelines on Big Data Technologies/Stack
- Hadoop, Spark, Hive, dataproc, BigQuery, Kafka and A irflow Scheduler to name a few.
- Deep understanding of the Hadoop ecosystem and strong conceptual knowledge in Hadoop architecture components and experience in working on at least one Big Data technology with Java, Python or Scala.
- Strong knowledge of deploying and managing applications in AWS or Azure or GCP.
- Strong scripting skills to process large amount of data and highly proficient in SQL.
- Preferred skills below
- Solid knowledge of Linux systems with the ability to troubleshoot issues in complex, distributed, multi-tier architectures.
- Experience in secure, scalable and highly available services.
- Experience with data science and machine learning is a plus.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies.
- Excellent hands-on working knowledge and experience with object-oriented/object function scripting languages: Python, Java, C++, Scala
- Good to have experience Micro-services frameworks
- Good written and verbal communication skills.
Responsibilities
- As a part of M arket Place team which works for multiple Walmart markets you will have a significant impact on Walmart’s business.
- You will play a crucial role in optimizing the M arket Place processes and ensure efficient utilization.
- The Data Engineer 3 is the one who works in partnership with the application developers to pursue efficiency and quality in the final product.
- This individual has a strong quality assurance mentality and is experienced in design, development and testing of Data Lake and ETL pipelines. meets the acceptance criteria of the stakeholders in security, performance, functionality or all of the above.
- Ability to create automation is a plus
- You will design and build data pipelines to
- analyze huge datasets, create powerful visualizations to derive insights and partner with the product team to brainstorm and act on these opportunities.
- You will build and maintain infrastructure and platform to derive maximize data driven impact.
- You must be able to accurately prioritize projects, make sound judgments, work to improve the processes, and get the right things done.
- Develop and implement best-in-class Data pipeline and Data Lake, Consumption/Acceleration layers to ensure best capacity utilization and meet SLAs.
- Demonstrate and transform business requirements to code, specific analytical reports and tools.
- Design, build, test and deploy cutting edge solutions at scale, impacting multi-billion-dollar business.
- Work closely with product owner and technical lead and play a major role in the overall delivery of the assigned project/enhancements.
- Learn & Research on the go and work on both new requests/projects as well as support production.
- Provide business insights while leveraging internal tools and systems, databases and industry data.
- Own a data subject and ensure availability and accuracy
- Document requirements, data lineage, subject matter in both business and technical terminology.
- What You'll' Bring
- Bachelor’s degree in computer science or related discipline with 3 + years’ experience
- Minimum 2 years of experience in Big Data and distributed computing.
- Proven experience building pipelines on Big Data Technologies/Stack
- Hadoop, Spark, Hive, dataproc, BigQuery, Kafka and A irflow Scheduler to name a few.
- Deep understanding of the Hadoop ecosystem and strong conceptual knowledge in Hadoop architecture components and experience in working on at least one Big Data technology with Java, Python or Scala.
- Strong knowledge of deploying and managing applications in AWS or Azure or GCP.
- Strong scripting skills to process large amount of data and highly proficient in SQL.
- Preferred skills below
- Solid knowledge of Linux systems with the ability to troubleshoot issues in complex, distributed, multi-tier architectures.
- Experience in secure, scalable and highly available services.
- Experience with data science and machine learning is a plus.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies.
- Excellent hands-on working knowledge and experience with object-oriented/object function scripting languages: Python, Java, C++, Scala
- Good to have experience Micro-services frameworks
- Good written and verbal communication skills.