Intelliswift Software
Data Engineer III
Intelliswift Software, Dallas, Texas, United States, 75215
Pay rate range - $65/hr. to $70/hr. on W2Dallas is the 1st preference if not Seattle WA, Arlington, VAMust Have
SQLPythonData warehousing / Data lakeYears of Experience
5-7 yearsDegree Or Certification
BS in engineeringResponsibilities
Plan, design, implement, and manage a deployment of a self-service data platform using native AWS servicesDesign, build, and maintain data pipelines using modern Big Data technologies such as AWS Redshift, S3, Glue, Athena, EMR, Spark, Hive, etc.Utilize modern cloud database and storage concepts for data storage and versioning (Data Lakes with AWS S3)Establish scalable, efficient, automated processes for large-scale data analysisBuild data pipelines to feed machine learning models for real-time and large-scale offline use cases.Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales managementWork with business owners and partners to build data sets that answer their specific business questionsRequired Skills & Experience
5+ years of data engineering experienceExperience with data modeling, warehousing, and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSExperience mentoring team members on best practicesPreferred Skills
Experience with big data technologies such as Hadoop, Hive, Spark, EMRExperience operating large data warehousesExperience with Native AWS services
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SQLPythonData warehousing / Data lakeYears of Experience
5-7 yearsDegree Or Certification
BS in engineeringResponsibilities
Plan, design, implement, and manage a deployment of a self-service data platform using native AWS servicesDesign, build, and maintain data pipelines using modern Big Data technologies such as AWS Redshift, S3, Glue, Athena, EMR, Spark, Hive, etc.Utilize modern cloud database and storage concepts for data storage and versioning (Data Lakes with AWS S3)Establish scalable, efficient, automated processes for large-scale data analysisBuild data pipelines to feed machine learning models for real-time and large-scale offline use cases.Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales managementWork with business owners and partners to build data sets that answer their specific business questionsRequired Skills & Experience
5+ years of data engineering experienceExperience with data modeling, warehousing, and building ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJSExperience mentoring team members on best practicesPreferred Skills
Experience with big data technologies such as Hadoop, Hive, Spark, EMRExperience operating large data warehousesExperience with Native AWS services
#J-18808-Ljbffr