Lowe s is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.
Lowe s India, the Global Capability Center of Lowe s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India
About the Team
The highly motivated team builds scalable data platforms, scorecards, and AI/ML-driven insights to empower Distribution Centers (DCs) with data-informed decision-making. The team delivers end-to-end solutions to forecast labor and transportation needs, optimize inventory flow, and improve operational efficiency across the supply chain network. By integrating real-time data, advanced analytics, and machine learning, the team enables proactive planning and performance visibility to meet evolving business demands.
Job Summary:
The primary purpose of this role is to assist with the translation of business requirements and functional specifications into modules and Data or Platform solutions. This includes assisting with the implementation and maintenance of business data solutions to ensure successful deployment of released applications. This role participates in all software development lifecycle phases and is critical to supporting software testing activities.
Key Responsibilities:
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Assists with translating business requirements and specifications into modules and Data or Platform solutions with guidance from senior colleagues; provides insight into recommendations for technical solutions that meet design and functional needs
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Supports the development, configuration, or modification of integrated business and/or enterprise application solutions within various computing environments by leveraging various software development methodologies and programming languages
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Assists in the implementation and maintenance of business data solutions to ensure successful deployment of released applications with guidance from senior colleagues as appropriate
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Supports systems integration testing (SIT) and user acceptance testing (UAT) with guidance from senior colleagues to ensure quality software deployment
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Supports in all software development end-to-end product lifecycle phases by applying an understanding of company methodologies, policies, standards, and controls.
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Understands Computer Science and/or Computer Engineering fundamentals. Learning software architecture; actively seeks knowledge and applies to data solutions or platform applications
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Drives the adoption of new technologies by researching innovative technical trends and developments
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Solves technical problems; solutions may need refinement and/or feedback from more senior level engineers
Data Engineering Responsibilities
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Supports the build, maintenance and enhancements of data lake development through a continuous learning of ingestion toolsets for DBMS and file system based data ingestion
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Supports the build, maintenance and enhancements of data curation pipelines which are of simple to medium complexity
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Builds an understanding of policies, data, and resources to support projects
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Maintains the health and monitoring of assigned analytic capabilities for a specific analytic function
BI Engineering Responsibilities
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Supports the build, maintenance and enhancements of BI solutions; creates basic reports, metrics, filters, and prompts
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Develops an understanding of the proper usage of attributes, facts, and transformations; develops an understanding of SQL generation from reports
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Provides daily monitoring of jobs/cubes, and overall health of the platform; resolves user access requests
Platform Engineering Responsibilities
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Administers Hadoop clusters in DTQ and Production environments
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Performs application installs, upgrades, patching and troubleshooting efforts
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Performs cluster maintenance, user provisioning, automation of routine tasks, troubleshooting of failed jobs, configure and maintain security policies
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Helps team to create the conceptual, logical and physical design for hybrid cloud-based solutions for infrastructure and platforms
Competencies:
Core Competencies
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Focus on Customers
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Deliver Results
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Take Action
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Show Courage
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Continue Learning
Functional Competencies
Technical Competencies
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Agile Development
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Software Development
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Test Engineering
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Programming
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Big Data Management
Qualifications
Minimum Qualifications:
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Bachelors degree in engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)
Preferred Qualifications:
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Masters Degree in Computer Science, CIS, or related field
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1 year of experience in software development or a related field
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1 year of experience developing and implementing business systems within an organization
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1 year of experience working with defect or incident tracking software
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1 year of experience writing technical documentation in a software development environment
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1 year of experience with Web Services
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Experience with application and integration middleware
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Experience with database technologies
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1 year of experience in Hadoop, NO-SQL, RDBMS, Teradata, MicroStrategy or any Cloud Bigdata
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