SENIOR, DATA ENGINEER

Position Summary...

Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices.

What you'll do...

About Team

GDF (Global Data Foundation) is part of Walmart's AI & Data organization - the team building the foundational data platforms that power AI, analytics, and decision-making across every Walmart banner and geography, from supply chain and merchandising to customer experience and enterprise AI agents. Our newly created platform team is chartered with building next-generation data infrastructure at Walmart scale: reliable, high-throughput data pipelines, distributed processing systems, and platform capabilities that downstream teams across Walmart depend on every day.

What You'll Do

• Design, build, and operate batch and streaming data pipelines using Spark, Java, and Python, processing data at Walmart scale.
• Apply solid software engineering fundamentals - clean architecture, automated testing, CI/CD, code review discipline - to data engineering work; this is a software engineering role that specializes in data, not a script-writing role.
• Apply system design and low-level design (LLD) rigor to data and platform problems - evaluating dependencies, trade-offs, failure modes, scalability, and cost before writing a line of code, with support from Staff/Principal engineers on the most ambiguous or cross-team problems.
• Flex into platform/software engineering work when needed: contribute to services, APIs, and distributed systems that data pipelines depend on, working directly in GDF's broader platform codebase.
• Apply AI, GenAI, and agentic capabilities directly to data platform problems: embeddings/vector search for data discovery, LLM-assisted data quality and anomaly detection, agentic pipeline monitoring, AI-assisted schema and lineage documentation.
• Partner with data scientists and ML engineers to build feature pipelines, model-serving data paths, and the data infrastructure that MLOps depends on.
• Own data quality, observability, and governance for the pipelines and datasets you build, with a strong Operational Excellence / Engineering Excellence discipline.
• Participate actively in architecture and design reviews spanning both data engineering and platform engineering domains, bringing an informed technical point of view.
• As a Senior engineer, bring strong technical judgment to design and code reviews within your immediate team and area of ownership, mentor early-career engineers, and help raise the bar for engineering quality - without needing a formal management title.
• Stay current on emerging Big Data, cloud, and AI/agentic technologies, and propose where they could pragmatically improve reliability, productivity, or business value within your team's scope.

What You'll Bring

• Genuinely hands-on coding: 5+ years of professional software engineering experience with hands-on data engineering at scale; strong proficiency in Java and Python is required, and strong working knowledge of Spark for distributed data processing is required, not optional. Additional experience with Go, C++, or Scala is a plus.
• Operational Excellence (OE) and Engineering Excellence (EE) mindset is a required skill, not a nice-to-have: SLO/SLA ownership, incident management and blameless post-incident reviews, proactive reliability and quality metrics, and continuous improvement built into how you ship, not bolted on afterward.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• Solid experience with the Big Data ecosystem - Spark, Hadoop/HDFS, Hive, Kafka, workflow orchestration (Airflow or equivalent) - including batch and streaming processing, and large-scale data transformation.
• Solid data platform fundamentals: data modeling, ETL/ELT pipeline design, data quality and observability, data governance, and integration with lakehouse architectures (e.g., Delta Lake, BigQuery, Databricks).
• Full exposure to AI and Agentic technologies: hands-on experience integrating model APIs and GenAI/LLM tooling, building or operating agentic workflows (tool-calling agents, multi-step autonomous systems), working with embeddings/vector search, and applying MLOps practices (feature stores, model lifecycle, retraining pipelines) - not just conceptual awareness.
• Working literacy in platform engineering: microservices, API design, Kubernetes or equivalent orchestration, CI/CD, and cloud-native practices - enough to flex into platform/software engineering work confidently.
• Solid distributed systems fundamentals: event-driven patterns, service contracts, asynchronous processing, and fault tolerance at scale - paired with solid system design and low-level design (LLD) skills, and the ability to evaluate trade-offs, failure modes, scalability, and cost for the components you own.
• Strong software engineering craftsmanship: testing strategy, code review standards, design patterns, and system design for high-throughput data systems.
• Proven ability to translate reasonably well-scoped data/business problems into clear technical execution plans, particularly within a newly formed team - escalating cross-team ambiguity to Staff/Principal engineers as needed.
• Strong ownership mindset and technical judgment; comfortable operating with autonomy within your team in a 0-to-1 environment.

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 experts, 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.

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. 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.

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.

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 3 years' experience in software engineering or related field. Option 2: 5 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 1 year's experience in software engineering or related field. 2 years' experience in data engineering, database engineering, business intelligence, or business analytics.

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