Data Engineer

IBA InfoTech Inc.
Morrisville, NC, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Agile Methodology Data Analysis Apache Ant Component-Based Software Engineering Microsoft Azure Big Data Cloud Computing Information Engineering Data Security Eclipse (Software) Gradle
+18 more
Apache Hadoop MapReduce Apache HBase Apache Hive Integrated Development Environments IntelliJ IDEA Apache Maven NetBeans Apache Oozie Performance Tuning Sqoop Data Ingestion Apache Spark Software Troubleshooting Information Technology Build Tools Data Management Restful APIs

Job description

  • 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

Requirements

  • 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., * Bachelor’s Degree in computer science, Engineering or related field
  • 3-5 years’ experience in Data Management

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