Job Description

About Lowe\xe2\x80\x99sLowe\xe2\x80\x99s Companies, Inc. (NYSE: LOW) is a FORTUNE\xc2\xae 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe\xe2\x80\x99s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe\xe2\x80\x99s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe\xe2\x80\x99s customers. Lowe\xe2\x80\x99s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe\xe2\x80\x99s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, .Job Summary
The primary purpose of this role is to provide consultation and technical advice on translating business requirements and functional specifications into logical program designs. This includes facilitating the implementation and maintenance of complex business and enterprise data solutions to ensure successful deployment of released applications. This role serves as a technical expert for project teams throughout the implementation and maintenance of business and enterprise Data or Platform solutions. In addition, this role personally develops and delivers modules, stable application systems, and integrated enterprise Data or Platform solutions within various computing environments.Qualifications
Minimum Qualifications

• Bachelor\'s Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)
• 7 years of experience in Data, BI or Platform Engineering, Data Warehousing/ETL, or Software Engineering
• 6 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)

Preferred Qualifications

• Master\'s Degree in Computer Science, CIS, or related field
• 6 years of IT experience developing and implementing business systems within an organization
• 6 years of experience working with defect or incident tracking software
• 6 years of experience writing technical documentation in a software development environment
• 4 years of experience working with an IT Infrastructure Library (ITIL) framework
• 4 years of experience leading teams, with or without direct reports
• 6 years of experience working with source code control systems
• Experience working with Continuous Integration/Continuous Deployment tools
• 6 years of experience in systems analysis, including defining technical requirements and performing high level design for complex solutions

Data Engineering

• 4 years of experience in Hadoop or any Cloud Bigdata components (specific to the Data Engineering role)
• 2 years of experience playing a lead role in projects (specific to the Data Engineering role)
• Expertise in Java/Scala/Python, SQL, Scripting, Teradata, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka or equivalent Cloud Bigdata components (specific to the Data Engineering role)

BI Engineering

• 3 years of experience in MicroStrategy (specific to the BI Engineering role)
• 1 year of experience in OLAP on Hadoop or any Cloud BI components (specific to the BI Engineering role)
• 2 years of playing a lead role in projects (specific to the BI Engineering role)
• Expertise in MicroStrategy/Power BI/SQL, Scripting, Teradata or equivalent RDBMS, Hadoop (OLAP on Hadoop), BI Architecting, Dashboard development, Mobile development (specific to the BI Engineering role)

Platform Engineering

• 4 years of experience in Hadoop, NO-SQL, RDBMS or any Cloud Bigdata components, Teradata, MicroStrategy (specific to the Platform Engineering role)
• Expertise in Java/Scala/Python, SQL, Scripting, Teradata, MicroStrategy, Oracle, MySql, SQL Server, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka or equivalent Cloud Bigdata components (specific to the Platform Engineering role)

Lowe\xe2\x80\x99s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under state or local law. Lowe\xe2\x80\x99s wishes to maintain appropriate standards and integrity in meeting the requirements of the Information Technology Act\xe2\x80\x99s privacy provisions.Lowe\'s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

Lowe\xe2\x80\x99s