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Data Engineer III

IN KA BANGALORE Home Office PTPP1

Actively hiring, first seen by us 1 day ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Education & alternatives
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science. Preferred Qualifications...

Tools in this posting

  • Scala
  • BigQuery
  • GCP
  • Hadoop
  • Kafka
  • Spark
  • Airflow
Source — Tool mentions in context
Engineering & Delivery · Drive end-to-end data pipeline development using Scala, Spark, and modern ETL/ELT frameworks. · Lead development of batch and real-time data processing pipelines leveraging GCP services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.
· Strong hands-on expertise in: o Scala and Apache Spark o Big Data technologies (Hadoop ecosystem, distributed computing frameworks)
· Drive end-to-end data pipeline development using Scala, Spark, and modern ETL/ELT frameworks. · Lead development of batch and real-time data processing pipelines leveraging GCP services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage. · Ensure high code quality, performance optimization, and scalability across data systems.
· Deep experience with Google Cloud Platform (GCP): o BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer (Airflow) · Proven track record in designing and architecting large-scale data platforms.
What you'll do: Technical Provice & Architecture · Implement the design and architecture of scalable, resilient, and high-performance data platforms on Google Cloud (GCP). · Implement data engineering best practices, including data modeling, pipeline orchestration, and data governance.
o Big Data technologies (Hadoop ecosystem, distributed computing frameworks) · Deep experience with Google Cloud Platform (GCP): o BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer (Airflow)
· Implement data engineering best practices, including data modeling, pipeline orchestration, and data governance. · Develop solutions using Big Data technologies such as Apache Spark, Hadoop ecosystem, and distributed systems. · Ensure alignment to enterprise data strategy, including data products, SSoT, and platform standardization.
o Scala and Apache Spark o Big Data technologies (Hadoop ecosystem, distributed computing frameworks) · Deep experience with Google Cloud Platform (GCP):
· Experience with data product architecture and data monetization use cases. · Knowledge of real-time streaming technologies (Kafka, Pub/Sub, etc.). · Exposure to multi-cloud or hybrid cloud environments.

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,703 similar postings that came down. Coming down is not always a hire.

Walmart is hiring

15 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Takes jobs down quickly
  • 27% of open jobs were reposted
Hiring record

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Has Walmart posted this job before?

Yes. We’ve followed 3 other Data Engineer III jobs there since August 2026. 3 came down, usually after about 4 days.

  1. BentonvilleCame down after 4 days, first seen Aug 27
  2. BentonvilleCame down after 4 days, first seen Oct 29
  3. BentonvilleCame down after 4 days, first seen Oct 29
  4. This jobUp 1 day so far, first seen Nov 3

If this one keeps the same pace, it may come down around November 7.

Large employers often post one title for several teams, so these can be separate openings.

Job description

View original posting ↗

Position Summary...

What you'll do...

Senior Data Engineer

 

About Team:
Our organization focuses on managing and delivering world-class data assets, including creating and maintaining data standards, driving policy compliance, creating partnerships, and developing pipelines and self-service tools. We empower our business to leverage data to fuel growth, driving revenue in our core and building new business model opportunities.
At Walmart, we help people save money, so they can live better. This mission serves as the foundation for every decision we make and drives us to create the future of retail. We can’t do that without the best talent – talent that is innovative, curious, and driven to create exceptional experiences for our customers.

Our Ideal Candidate


You have a deep interest and passion for technology. You love writing and owning codes and enjoy working with people who will keep challenging you at every stage. You have strong problem solving, analytic, decision-making and excellent communication with interpersonal skills. You are self-driven and motivated with the desire to work in a fast-paced, results-driven agile environment with varied responsibilities. 

What you'll do:
Technical Provice & Architecture

·       Implement the design and architecture of scalable, resilient, and high-performance data platforms on Google Cloud (GCP).

·       Implement data engineering best practices, including data modeling, pipeline orchestration, and data governance.

·       Develop solutions using Big Data technologies such as Apache Spark, Hadoop ecosystem, and distributed systems.

·       Ensure alignment to enterprise data strategy, including data products, SSoT, and platform standardization.

Engineering & Delivery

·       Drive end-to-end data pipeline development using Scala, Spark, and modern ETL/ELT frameworks.

·       Lead development of batch and real-time data processing pipelines leveraging GCP services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.

·       Ensure high code quality, performance optimization, and scalability across data systems.

·       Oversee production stability, incident management, and continuous improvement initiatives.

Collaboration and Stakeholder Engagement

·       Promote a collaborative environment across cross-functional teams including Product, Architecture, and Business stakeholders.

·       Partner with senior leadership to understand and translate business priorities into data engineering roadmaps.

·       Involve in discussions with stakeholders on architecture decisions, trade-offs, and technology adoption.

·       Contribute to platform modernization initiatives, migration strategies, and cloud adoption programs.

Agent Mindset & Innovation

·       Demonstrate an agentic approach—proactively identifying gaps, removing blockers, and driving measurable outcomes.

·       Leverage automation, AI-driven workflows, and intelligent data pipelines to enhance efficiency and scalability.

·       Champion data-driven decision-making and continuous innovation within the organization.


What you'll bring:

·       3+ years of experience in Data Engineering, Big Data, or related domains.

·       Strong hands-on expertise in:

o   Scala and Apache Spark

o   Big Data technologies (Hadoop ecosystem, distributed computing frameworks)

·       Deep experience with Google Cloud Platform (GCP):

o   BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer (Airflow)

·       Proven track record in designing and architecting large-scale data platforms.

·       Strong experience in data modeling, ETL/ELT frameworks, and pipeline orchestration.

·       Demonstrated experience in leading and managing engineering teams.

·       Experience with data product architecture and data monetization use cases.

·       Knowledge of real-time streaming technologies (Kafka, Pub/Sub, etc.).

·       Exposure to multi-cloud or hybrid cloud environments.

·       Familiarity with data governance, security, and compliance frameworks.

·       Experience in retail, e-commerce, or large-scale enterprise data platforms.

·       Strong data structures, algorithims and problem-solving skills

·       Strategic thinking with execution excellence

·       Excellent stakeholder communication and leadership presence

·       High degree of ownership, accountability, and proactiveness (agent mindset)

·       Scalable and performant data platforms delivered on GCP

·       Strong engineering culture with high-quality, reliable data pipelines

·       Effective team growth and retention

·       Measurable improvements in data availability, cost efficiency, and time-to-insight

 

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people.  That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, pto, health benefits, and much more.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." by fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal opportunity employer
Walmart, inc., is an equal opportunities employer – by choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.



Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Minimum Qualifications:Option 1: Bachelor's degree in Computer Science and 2 years' experience in software engineering or related field. Option 2: 4 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...

Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India
Source details

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Location & working pattern

IN KA BANGALORE Home Office PTPP1

· Knowledge of real-time streaming technologies (Kafka, Pub/Sub, etc.). · Exposure to multi-cloud or hybrid cloud environments. · Familiarity with data governance, security, and compliance frameworks.
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