SENIOR, SOFTWARE ENGINEER - Python

Position Summary...

What you'll do...Skillset: Python, PySpark, SQLExperience range: 6 to 10 years

About the Team

Walmart’s Corporate Tech and Services is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart.  

As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is Corporate Tech. Joining this team means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart. 

Position Summary

As a Senior Data Engineer on the Post Payment Audit team, you will design, build, and operate scalable data products that improve payment accuracy, identify overpayment and reconciliation opportunities, and help recover value across supplier payment workflows. You will partner with Finance, Audit, Operations, Product, Data Science, and Engineering teams to transform complex invoice, purchase order, receiving, supplier, claims, pricing, and payment data into reliable pipelines, curated datasets, and production-ready analytics foundations.

This role is ideal for someone who combines deep data engineering expertise with strong business problem-solving and practical GenAI enablement skills. You should be comfortable working across messy enterprise data, designing resilient batch, streaming, and CDC workflows, implementing data quality and observability patterns, managing lakehouse-style data products, supporting analytics and machine learning use cases, and making trusted data easier for audit teams and stakeholders to use.

What You Will Do:

• Design, build, and maintain scalable batch, streaming, and near-real-time data pipelines that support post-payment audit, payment integrity, supplier reconciliation, recovery operations, and finance analytics workflows.

• Create reliable curated datasets, semantic data models, feature-ready tables, and reusable data products from invoice, purchase order, receiving, supplier, claims, pricing, and payment systems.

• Develop robust ELT/ETL and streaming workflows using SQL, Python, PySpark, Apache Flink, DBT, orchestration tools, event streaming platforms, and cloud data platforms, with a focus on maintainability, performance, and cost efficiency.

• Build streaming and change data capture pipelines that support event-time processing, late-arriving data, replayability, idempotency, backfills, and reliable recovery from failures.

• Design and manage lakehouse data products using table formats such as Apache Hudi, Apache Iceberg, or Delta Lake to support ACID transactions, incremental reads, upserts, time travel, and efficient auditability.

• Implement data quality checks, reconciliation controls, schema validation, lineage, monitoring, alerting, and observability practices to ensure trusted and repeatable data outputs.

• Partner with audit operations, finance stakeholders, product managers, data scientists, analysts, and engineers to turn business requirements into production-grade data solutions.

• Support anomaly detection, exception prioritization, audit rules, ML scoring, and GenAI workflows by delivering high-quality source data, feature engineering pipelines, and operational datasets.

• Build data services and automation patterns that help audit teams summarize evidence, triage exceptions, generate investigation context, and reduce repetitive manual review.

• Apply practical GenAI data engineering patterns such as retrieval-ready document stores, embeddings pipelines, vector database integrations, metadata enrichment, and governed knowledge retrieval.

• Optimize large-scale batch and streaming data processing jobs for reliability, freshness, latency, state management, compute efficiency, and downstream usability across enterprise data platforms.

• Perform root-cause analysis on data discrepancies, pipeline failures, reconciliation mismatches, and source-system issues across large and imperfect datasets.

What You Will Bring:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Engineering, Analytics, Mathematics, Statistics, or a related field with 6+ years of relevant experience; or Master’s degree with 4+ years of relevant experience; or PhD with 3+ years of relevant experience.

• Strong hands-on experience with SQL, Python, PySpark, Apache Flink or equivalent stream processing frameworks, and large-scale distributed data processing.

• Experience with DBT or equivalent transformation frameworks, orchestration tools such as Airflow, event streaming platforms such as Kafka or equivalent, and cloud or enterprise data platforms such as BigQuery, Hive, Spark, or similar technologies.

• Experience designing, building, deploying, and supporting production batch and streaming data pipelines, ELT/ETL workflows, data models, and reusable data products.

• Strong understanding of data modeling, partitioning, performance tuning, incremental processing, CDC, schema evolution, data contracts, metadata management, lineage, and lakehouse table formats such as Apache Hudi, Apache Iceberg, or Delta Lake.

• Experience implementing data quality checks, reconciliation logic, validation frameworks, observability, monitoring, alerting, and incident resolution for production batch and streaming pipelines.

• Experience building streaming data solutions with concepts such as event-time processing, stateful transformations, checkpointing, watermarking, exactly-once or effectively-once processing, and replay/backfill strategies.

• Experience working with large structured and semi-structured datasets from multiple source systems, including messy operational data with inconsistent business definitions.

• Strong collaboration skills with the ability to work across Finance, Audit, Operations, Product, Data Science, and Engineering teams.

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.

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering or related area.
Option 2: 5 years’ experience in software engineering or related area.

Preferred Qualifications...

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

Master’s degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 1 year’s experience leading information security or cybersecurity projects, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Information Technology - CISCO Certification - CertificationPrimary Location...Block- 1, Prestige Tech Pacific Park, Kadubeesanahalli Village, Varthur Hobli , India