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트렌딩 기업

채용

채용Walmart

(IND) SENIOR MANAGER, DATA ENGINEERING

Walmart

(IND) SENIOR MANAGER, DATA ENGINEERING

Walmart

IN TN CHENNAI Home Office Capita Land

·

On-site

·

Full-time

·

2d ago

Position Summary...

What you'll do...

Job Description:

People Data Platform – Powering Secure, Enterprise-Scale People Insights at Walmart .The People Data Platform team at Walmart owns the centralized People Data Lake that enables trusted, cross-domain people insights across the enterprise. We build and operate a scalable data platform on GCP, ingesting data from multiple source systems and transforming it through a robust medallion architecture to deliver high-quality, analytics-ready data.

Our team designs data and semantic models that empower HR, business, and analytics teams to make data-driven decisions at scale. In parallel, we lead the Data Security charter for the People Data Lake, implementing encryption, masking, and fine-grained access controls to protect sensitive data while ensuring compliant and governed access.

The Workforce Intelligence Platform (WIP) builds the access and experience layer on top of this foundation-enabling secure, personalized, and scalable analytics consumption. WIP combines query execution, dynamic access control (RLS, CLS, ABAC), and API-driven architecture to power dashboards, applications, and AI-driven data interactions.

Operating at the intersection of big data, cloud, security, and platform engineering, we are building a future-ready analytics platform that supports one of the world’s largest workforces.

What you will do

  • Lead and grow a high-performing team of 8-10 data engineers building and operating the People Data Lake
  • · Own the architecture, design, and delivery of scalable batch and future streaming data pipelines using Spark, Big Query, Airflow, and related cloud-native technologies.
  • · Drive best practices across data modeling, pipeline reliability, observability, and cost optimization to ensure high performance and availability.
  • · Define and implement the data security framework for the lake, including encryption (at rest and in transit), masking and fine-grained access controls.
  • · Establish secure data sharing and governance mechanisms to protect sensitive data and ensure regulatory and enterprise compliance.
  • · Partner with Product, HR, Analytics, Security, and Architecture teams to define roadmap, prioritize initiatives, and deliver scalable, resilient, and secure data solutions.
  • · Build a strong engineering culture focused on operational excellence, technical rigor, and continuous improvement while shaping the mid- to long-term platform vision.
  • · Establish best engineering and operational excellence practices based on product, engineering, and scrum metrics.
  • · Work with senior leadership to chart out the future roadmap of the products
  • · Participate in hiring, mentoring, and building high performing agile teams.
  • · Establishing clear expectations with individuals based on their level and role, meeting regularly to discuss performance, provide feedback and coaching

What you will bring

  • · 12+ years of experience in software or data engineering with 3+ years leading high-performing engineering teams.
  • · Strong hands-on expertise in Spark, Big Query, Airflow (or equivalent), and distributed data systems on GCP.
  • · Experience with big data and distributed systems like Spark, Flink, etc.
  • · Proven experience designing, building, and operating large-scale data lakes or lakehouse platforms with batch and streaming ingestion.
  • · Deep understanding of data security principles including encryption, PII protection, masking, IAM, and row/column-level security.
  • · Strong SQL and data modeling skills with experience implementing CI/CD, monitoring, and reliability best practices for data platforms.
  • · Ability to operate at both strategic and execution levels, influence cross-functional stakeholders, and translate platform vision into secure, scalable business outcomes.
  • · Knowledge in Pub sub system like Kafka.
  • · Knowledge of cloud platforms like Azure, GCP etc
  • · Lead the integration of AI/ML toolkits and frameworks into day-to-day (D2D) data engineering workflows, enabling teams to accelerate development, automate data processes, and enhance decision-making capabilities.

About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds 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 isand feelsincluded, 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, were 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 Opportunity 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 welcoming 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 5 years' experience in software engineering or related field. Option 2: 7 years' experience in software engineering or related field. Option 3: Master's degree in Computer Science and 3 years' experience in software engineering or related field. 4 years' experience in data engineering, database engineering, business intelligence, or business analytics. 1 year's supervisory experience.

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

Primary Location...

Tower 1, Part Of 1st, 2nd To 4th Flrs, Intl Tech Park Radial Road (radial It Park Pvt Ltd), , India

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Walmart 소개

Walmart

Walmart

Public

Walmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 19 other countries. It is headquartered in Bentonville, Arkansas.

10,001+

직원 수

Bentonville

본사 위치

$611B

기업 가치

리뷰

2.7

10개 리뷰

워라밸

3.2

보상

2.1

문화

2.3

커리어

1.8

경영진

1.9

35%

친구에게 추천

장점

Friendly and supportive coworkers

Flexible hours and scheduling

Good for part-time work

단점

Low pay and poor compensation

Limited advancement and growth opportunities

Poor management practices and disorganization

연봉 정보

29,572개 데이터

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Junior/L3 · Data Scientist P1

0개 리포트

$125,350

총 연봉

기본급

-

주식

-

보너스

-

$106,548

$144,152

면접 경험

2개 면접

난이도

3.5

/ 5

소요 기간

21-35주

합격률

100%

경험

긍정 100%

보통 0%

부정 0%

면접 과정

1

Application Review

2

Hiring Assessment

3

Recruiter Screen

4

Technical Interview

5

Final Round Interview

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience