Lowe’s India Freshers Hiring Codeathon at Bangalore, On 12, 13 June 2021

Lowe’s India is conducting Hiring Codeathon for young coders like you who can work with them as Associate Software Engineer or Data Analyst at their Bangalore office. Lowe’s India focuses on technology and shared business services. Technology teams support e-commerce, mobile, infrastructure and corporate systems that enable various functions such as supply chain, distribution, corporate services. Initiated with just over 20 associates, Lowe’s India now has a growing associate base that employs over 3000 people.

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Associate Software Engineer

Description

• The primary purpose of this role is to assist with the translation of business requirements and functional specifications into code modules and software solutions. This includes assisting with the implementation and maintenance of business software solutions to ensure the successful deployment of released applications. This role participates in all software development lifecycle phases and is critical to supporting software testing activities.

Key Responsibilities
• Assists with translating business requirements and specifications into code modules and software solutions with guidance from senior colleagues; provide insight into recommendations for technical solutions that meet design and functional needs
• 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
• Assists in the implementation and maintenance of business software solutions to ensure successful deployment of released applications with guidance from senior colleagues as appropriate
• Supports systems integration testing (SIT) and user acceptance testing (UAT) with guidance from senior colleagues to ensure quality software deployment.
• Supports in all software development end-to-end product lifecycle phases by applying an understanding of company methodologies, policies, standards, and controls.
• Understands Computer Science and/or Computer Engineering fundamentals. Learning software architecture. Actively seeks knowledge and applies it to software solutions.
• Drives the adoption of new technologies by researching innovative technology trends and developments
• Solves technical problems; solutions may need refinement and/or feedback from more senior level engineers.

Core Competencies
• Focus on Customers
• Deliver Results
• Take Action
• Show Courage
• Continue Learning

Functional Competencies
• Collaborate
• Exhibit Technology Acumen
• Communicate Effectively
• Demonstrate Learning Agility
• Be Adaptable

Technical Competencies
• Microservices
• Application Development Tools
• Quality Engineering
• Technical Troubleshooting
• Software Engineering

Minimum Qualifications
• High School Diploma or equivalent
• Completion of coursework or program focused on software development or related skills (e.g., technology-related college coursework, Bootcamp, certification program, coding academy)

Preferred Qualifications
• Exposure to developing and implementing business systems
• Exposure on defect or incident tracking software
• Exposure to writing technical documentation in a software development environment
• Exposure on Web Services
• Exposure to application and integration middleware
• Exposure on database technologies
• Exposure to Hadoop, NO-SQL, RDBMS, Teradata, MicroStrategy or any Cloud Bigdata components

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Associate Analyst

Description

• The primary purpose of this role is to assist with analyses or model building activities while learning to execute these activities independently. This includes following analytical best practices, analyzing and reporting accurate results, and identifying meaningful insights that directly support decision making. This role works with internal team members to identify and understand business needs while growing his/her understanding of one or more business function. To be successful, the individual in this role must work to develop technical skills in programs such as SQL or Python, data query methods, data merging, and data summarizing and visualization using appropriate tools (e.g., MicroStrategy VI). The individual in this role works closely with and receives ongoing guidance from more senior level team members and manager.

Key Responsibilities
• Develops knowledge of how to leverage disparate data sources to answer questions for the business
• Performs more basic project analysis and data modeling with direction from others, ultimately ensuring that the final deliverable is high-quality and provides impactful insights
• With oversight from manager and others, translates a business question into an analytical model that can be utilized and executed by the business
• Assists more senior level Analytics professionals in more complex modeling and analytical projects to ensure their completion within allotted timeline and budget
• Assists one or more areas of retail operations/functions in providing analytical support and actionable insights
• Helps track measures of success and develop reports that measure operational and customer metrics for one or more areas of retail operations
• Supports test and learn efforts for key functional areas
• Assists with ad-hoc analytical requests, with direction and oversight from others
• Works with more senior level analysts to translate project requirements into analytical problem(s), validating understanding of requirements with manager or more senior level analysts
• Works with more senior level analysts to identify appropriate sources and gather information/data, using known tools, techniques, methods and models to ensure an accurate and concise output summarizing findings
• Provides input into final insights from the data analysis
• Seeks to understand common methods and best practices in the data analytics space

Core Competencies
• Focus on Customers
• Deliver Results
• Take Action
• Show Courage
• Continue Learning

Functional Competencies
• Exhibit Technology Acumen
• Show Resilience
• Value Differences
• Be Adaptable
• Collaborate

Technical Competencies
• Data Mining
• Statistical Analysis and Measurement
• Data Gathering and Analysis
• SQL
• Business Data Analysis

Minimum Qualifications
• High School Diploma or equivalent
• Basic understanding of data analysis practices

Preferred Qualifications
• Bachelor’s Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field (or equivalent work experience in a related field)
• Should be aware of analytical tools such as R, Python, SQL, SAS, Adobe, Alteryx, Knime, Aster
• Should be aware of visualization tools such as MicroStrategy VI, Power BI, Tableau