Job Summary
The primary purpose of this role is to translate business requirements and functional specifications into logical program designs and to deliver modules, stable application systems, and Data or Platform solutions. This includes developing, configuring, or modifying complex integrated business and/or enterprise infrastructure or application solutions within various computing environments. This role facilitates the implementation and maintenance of complex business and enterprise Data or Platform solutions to ensure successful deployment of released applications.
Qualifications
Minimum Qualifications
- Bachelor's Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field)
- 5 years of experience in Data, BI or Platform Engineering, Data Warehousing/ETL, or Software Engineering
- 4 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
- 5 years of IT experience developing and implementing business systems within an organization
- 5 years of experience working with defect or incident tracking software
- 5 years of experience writing technical documentation in a software development environment
- 3 years of experience working with an IT Infrastructure Library (ITIL) framework
- 3 years of experience leading teams, with or without direct reports
- 5 years of experience working with source code control systems
- Experience working with Continuous Integration/Continuous Deployment tools
- 5 years of experience in systems analysis, including defining technical requirements and performing high level design for complex solutions
Data Engineering
- 3 years of experience in Hadoop or any Cloud Bigdata components (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
- Expertise in MicroStrategy/Power BI/SQL, Scripting, Teradata or equivalent RDBMS, Hadoop (OLAP on Hadoop), 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'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.
Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.
