(ind) Staff, Data Engineer

Position Summary...

What you'll do...

About Team

The Data Engineering team at Global Data Foundations builds and operates trusted, scalable data platforms and products that enable analytics, reporting, machine learning, and operational decision-making across the enterprise. We partner with Product, Engineering, Analytics, Data Science, and business teams to transform complex data into reliable, governed, and reusable assets. Our work spans high-volume batch and streaming pipelines, cloud data platforms, data modeling, observability, governance, and platform modernization at global scale.

As a Staff Data Engineer, you will provide hands-on technical leadership across multiple initiatives. You will shape architecture, solve ambiguous data problems, establish engineering standards, and influence teams to deliver secure, resilient, cost-effective data solutions that create measurable business value.

What you'll do

·    Lead the architecture, design, and delivery of large-scale data platforms, pipelines, and products supporting complex business capabilities across multiple domains.

·    Translate ambiguous business and operational problems into well-defined data solutions, technical roadmaps, executable milestones, and measurable outcomes.

·    Drive the execution of multiple business plans and projects by identifying customer and operational needs, communicating priorities, removing technical barriers, managing dependencies, and adapting plans based on progress and risk.

·    Build and optimize reliable batch and streaming data pipelines using modern ETL/ELT, API, event-driven, and distributed-processing patterns.

·    Design scalable conceptual, logical, and physical data models across relational, dimensional, NoSQL, data lake, and warehouse platforms.

·    Identify authoritative data sources, define fit-for-purpose ingestion strategies, and establish data-quality checks, service-level objectives, lineage, and reconciliation controls.

·    Provide technical direction through architecture reviews, design sessions, code reviews, proof-of-concepts, and production-readiness assessments.

·    Develop and review production-quality code using SQL, Python, Java, or equivalent languages; establish robust testing, CI/CD, and release automation practices.

·    Improve platform reliability through observability, capacity planning, performance tuning, incident prevention, root-cause analysis, and automated remediation.

·    Partner with security, privacy, legal, governance, infrastructure, and product teams to ensure data is handled ethically and complies with enterprise and regulatory requirements.

·    Define and champion engineering standards for data modeling, metadata, documentation, reusable frameworks, scalability, security, and cost efficiency.

·    Mentor engineers, raise the technical bar, cultivate a learning environment, and influence teams without relying on direct authority.

·    Evaluate emerging technologies and AI-enabled engineering capabilities, using evidence-based experimentation to recommend pragmatic adoption.

·    Communicate architecture, trade-offs, delivery risks, and business impact clearly to engineering teams, senior leaders, and non-technical stakeholders.

·    Promote company policies, mission, values, ethics, integrity, belonging, continuous improvement, and an open environment where concerns and ideas can be raised constructively.

What you'll bring

·    10+ years of professional experience in data engineering, software engineering, data platforms, or a related field, including experience leading technically complex, cross-team initiatives.

·    Advanced proficiency in SQL and at least one general-purpose programming language such as Python or Java, with strong software engineering fundamentals.

·    Deep experience designing and operating distributed data systems, including batch processing, streaming ingestion, APIs, event-driven architectures, and large-scale data transformations.

·    Strong knowledge of cloud data ecosystems and technologies such as Google Cloud Platform, Microsoft Azure, or AWS, with experience in platforms such as BigQuery, Snowflake, Databricks, Spark, Presto/Trino, or equivalent.

·    Experience with relational, dimensional, semi-structured, and NoSQL data models, including scalability, partitioning, indexing, schema evolution, and data-access patterns.

·    Hands-on experience with orchestration, CI/CD, infrastructure automation, source control, automated testing, and production observability.

·    Expertise in data quality, metadata, lineage, governance, privacy, security, retention, and regulatory compliance practices.

·    Ability to formulate technical problems, compare solution options, articulate trade-offs, and connect engineering decisions to business outcomes and total cost of ownership.

·    Demonstrated ability to troubleshoot complex production issues and improve the reliability, availability, performance, and operability of mission-critical data systems.

·    Excellent written and verbal communication skills, with the ability to influence architecture and execution across engineering, product, analytics, and business stakeholders.

·    Proven mentoring and technical leadership skills, including the ability to develop engineers, build alignment, and establish standards across teams.

·    Experience working in Agile or product-oriented engineering environments and delivering iteratively in partnership with cross-functional 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.

Minimum Qualifications:Option 1: Bachelor's degree in Computer Science and 4 years' experience in software engineering or related field. Option 2: 6 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field. 3 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