Senior Data Engineer

RESPONSIBILITY STATEMENTS:

Builds complex technical solutions that turn business requirements into operational processes and inject analytical insights into the business
Aligns complex technical solutions to corporate governance requirements to ensure data security and maintain data quality standards
Remains on the cutting edge of industry trends to ensure that the Lowe's COE is aligned with industry best practices
Builds automation and self-service consumption tools to operationalize data ingestion and analytic models
Aligns technical solutions to corporate standards to ensure that security and privacy requirements are met
Communicates clearly and concisely to key leadership and stakeholders to ensure alignment on project status and deliverables
Partners with Big Data architects and other key stakeholders to ensure that project deliverables align with cost and timing standards

QUALIFICATIONS

5 years of progressive, post-bachelor’s experience in Data Engineering/Management, or Analytics.
Experience with using build tools including one or more of the following: Ant, Maven, Gradle.
Strong experience with using IDE’s and Software development environments including one or more of the following: Eclipse, NetBeans and Intellij Idea.
4 years of experience in Big Data Solutions using technologies including one or more of the following: Hadoop, Hive, HBase, MapReduce, Spark, Sqoop, Oozie, Java.
2 years of experience applying Agile development practices and working with distributed component-based architectures.
2 Years of experience in Spark/Scala.
1-2 years of experience with REST API development
1 year of experience on Cloud platforms such as Azure or GCP
Strong experience in performance Tuning, troubleshooting application issues & analyzing production issues.

MINIMUM QUALIFICATIONS:

PREFERRED QUALIFICATIONS: