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PRINCIPAL, DATA ENGINEER

5-10 years

Bangalore / Bengaluru

1 vacancy

PRINCIPAL, DATA ENGINEER

Walmart

posted 2mon ago

Job Role Insights

Flexible timing

Job Description

Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning. Provides supervision and development opportunities for associates by selecting and training; mentoring; assigning duties; building a team-based work environment; establishing performance expectations and conducting regular performance evaluations; providing recognition and rewards; coaching for success and improvement; and ensuring diversity awareness. Promotes and supports company policies, procedures, mission, values, and standards of ethics and integrity by training and providing direction to others in their use and application; ensuring compliance with them; and utilizing and supporting the Open Door Policy. Ensures business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost-effectiveness; and participating in and supporting community outreach events.
What youll do...
  • Tech Problem Formulation Requires knowledge of: Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights
  • To analyze the business problem within ones discipline and questions assumptions to help the business identify the root cause
  • Identifies and recommends approach to resolve the business problem to create effective technology focused solutions
  • Sets relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution

Quantifies business impact

  • Understanding Business Context Requires knowledge of: Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas
  • To evaluate proposed business cases for projects and initiatives
  • Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives and drives the execution of deliverables
  • Builds and articulates the business case and return on investment and delivers work that has demonstrable value
  • Challenge business assumptions on topics related to ones domain expertise
  • Mentors the team members on new business insights and allied developments
  • Proactively engages in the external community to build Walmarts brand and learn more about industry practices
  • Data Source Identification Requires knowledge of: Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (eg SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success
  • To Understand the priority order of requirements and service level agreements
  • Defines and identifies the most suitable sources for required data that is fit for purpose, referring to external sources as required
  • Performs initial data quality checks on the extracted data
  • Reviews the deliverables of junior associates and provides guidance on data source and quality

Data Transformation and Integration

  • Requires knowledge of: Internal and external data sources including how they are collected, where and how they are stored, and interrelationships, both within and external to the organization; Techniques like ETL batch processing, streaming ingestion, scrapers, API and crawlers;
  • Data warehousing service for structured and semi-structured data, or to MPP databases such as Snowflake, Microsoft Azure, Presto or Google BigQuery; Pre-processing techniques such as transformation, integration, normalization, feature extraction, to identify and apply appropriate methods;
  • Techniques such as decision trees, advanced regression techniques such as LASSO methods, random forests etc; Cloud and big data environments like EDO2 systems
  • To build the infrastructure required for optimal transformation and integration from a wide variety of data sources using appropriate data integration technologies
  • Uses modern tools, techniques, and architectures to partially or comp Data Modeling Requires knowledge of: Cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc
  • ; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques
  • To assemble large, complex data across all data platforms (for example, relational, dimensional, NoSQL) and data tools
  • Builds complex logical and conceptual models and provides guidance to team on physical data models
  • Identifies and defines the appropriate techniques for exposing data to other systems
  • Reviews and provides guidance and inputs on all data modeling activities to team members
  • Creates and maintains critical data documentation and metadata that allows data to be understood and leveraged as a shared asset
  • Assists in defining data modeling stand Code Development and Testing Requires knowledge of: Coding languages like SQL, Java, C++, Python and others; Testing methods such as static, dynamic, software composition analysis, manual penetration testing and others; Business, domain understanding
  • To review the solution and application design to ensure it meets business, technical, and data requirements
  • Identifies language and libraries to use in the development process
  • Maps test cases to business and functional requirements
  • Creates proof of concepts
  • Reviews and troubleshoots code in line with final designs
  • Identifies and recommends the appropriate testing methodology
  • Identifies the environment(s) for deployment
  • Identifies and recommends modifications of application based on different environment requirements
  • Identifies modifications needed for scalability and drives the change
  • Monitors applications in production and leads development of patches where required
  • Reviews and ensures all code documentation is complete and upd Data Governance
  • Requires knowledge of: Data value chains; Data processes and practices; Regulatory and ethical requirements around data; Data modeling, storage, integration, and warehousing; Data value chains (identification, ingestion, processing, storage, analysis, and utilization); Data quality framework and metrics; Regulatory and ethical requirements around data privacy, security, storage, retention, and documentation; Business implications on data usage; Data Strategy; Enterprise regulatory and ethical policies and strategies
  • To establish, modify, and document data governance strategies and initiatives
  • Provides guidance to business stakeholders, peers, and junior associates on the implementation of data governance practices
  • Helps business leaders understand and interpret company and regulatory policies around data
  • Determines data governance processes, practices, policies, and guidelines
  • Drives the successful adoption of organizational data utilization
  • Educates others on rol Data Strategy: Requires knowledge of: Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability etc; Understanding of the methods and applications that unlock the monetary value of data assets
  • To understand, articulate, interpret, and apply the principles of the defined strategy to unique, moderately complex business problems that may span one or more functions or domains

Leadership Expectations

Respect for the Individual: Demonstrates and encourages respect for all; builds a high-performing, diverse team; seeks, and embraces differences in people, cultures, ideas and experiences; creates a workplace and equitable experiences where associates feel seen, supported and connected through culture of belonging so associates thrive and perform; drives a positive associate and customer/member experience for all; identifies, attracts, and retains the best, diverse team members.

Respect for the Individual: Creates a discipline and focus around developing talent, through feedback, coaching, mentoring, and developmental opportunities; promotes an environment allowing everyone to bring their best selves to work; empowers associates and partners to act in the best interest of the customer/member and company; and regularly recognizes others contributions and accomplishments.

Respect for the Individual: Builds strong and trusting relationships with team members and business partners; works collaboratively and cross-functionally to achieve objectives; and communicates and listens attentively, with energy and positivity to motivate, influence, and inspire commitment and action.

Acts with Integrity: Maintains and promotes the highest standards of integrity, ethics and compliance; models the Walmart values and leads by example to foster our culture; supports Walmart s goal of becoming a regenerative company by making a positive impact for associates, customers, members, and the world around us.

Acts with Integrity: Follows the law, our code of conduct and company policies, and sets expectations for others to do the same; promotes an environment where associates feel comfortable sharing concerns and reinforces our culture of non-retaliation; listens to concerns raised by associates. takes action and encourages others to do the same; holds self and others accountable for achieving results in a way that is consistent with our values.

Acts with Integrity: Acts as an altruistic servant leader and is consistently humble, self-aware, honest, and transparent.

Service to the Customer/Member: Delivers expected business results while putting the customer/member first and consistently applying an omni-merchant mindset and acts with an Every Day Low Cost mindset to drive value and Every Day Low Prices for customers/members.

Service to the Customer/Member: Adopts a holistic perspective that considers data, analytics, customer/member insights, and different parts of the business when making plans and shaping the team s strategy.

Strive for Excellence: Consistently raises the bar and seeks to improve; demonstrates curiosity and a growth mindset; seeks feedback, asks thoughtful questions, fosters an environment that supports learning, innovation, and learning from mistakes, and intelligent risk-taking; and exhibits resilience in the face of setbacks.

Strive for Excellence: Seeks and implements continuous improvements and encourages the team to leverage new digital tools and ways of working.

Minimum Qualifications

Minimum Qualifications:Option 1: Bachelors 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: Masters 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.

Employment Type: Full Time, Permanent

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Walmart Interview Questions & Tips

Prepare for Walmart Data Engineer roles with real interview advice

Top Walmart Data Engineer Interview Questions

Q1. Maximum Frequency Number Problem Statement Given an array of integers with numbers in random order, write a program to find and return the ... read more
Q2. What would be the ideal data structure to represent people and friend relations in facebook
Q3. Find All Anagrams Problem Statement Given a string STR and a non-empty string PTR , identify all the starting indices of anagrams of PTR wi ... read more
View all 302 questions

What people at Walmart are saying

3.3
 Rating based on 23 Data Engineer reviews

Likes

Perks are good. Free hand for developers to work.

Dislikes

Management expectations are highly un-realistic. Change of culture from being a Product oriented company to a Service based company. Too much of bad politics.

  • Salary - Bad
  • +3 more
Read 23 Data Engineer reviews

Data Engineer salary at Walmart

reported by 204 employees
₹9.7 L/yr - ₹41.5 L/yr
124% more than the average Data Engineer Salary in India
View more details

What Walmart employees are saying about work life

based on 2.4k employees
71%
50%
55%
91%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Walmart Benefits

Job Training
Cafeteria
Health Insurance
Soft Skill Training
Work From Home
Free Transport +6 more
View more benefits

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