Senior Data Engineer

  • location: Cedar Rapids, IA
  • type: Contract
  • salary: $40 - $54 per hour

job description

Senior Data Engineer

job summary:
Great opportunity for Data Engineer to assist with transformation to AWS. We desire strong leadership, communication, and development experience. Looking for someone who can understand the vision that's laid out by architects and helps put together an implementation/execution roadmap on how we can achieve our goal to transition warehouse functionality to AWS. Understands Strategic vision that's laid out by Global architects on cloud adoption and help put together a roadmap to move datawarehouse functionality that's on-prem to AWS Create proof-of-concept/pilots of services/methods for US Data Warehouses, Data Lakes, Operational Data Stores and BI/Analytics pipelines. Will lead and coach data engineering, modelling and QA teams to build cloud-based data lakes, data warehouses and data processing pipelines. Will work collaboratively with data scientists, product managers, enterprise architects and senior management to build and continuously improve data infrastructure value to business . Will create standards, designs and best practices for building enterprise Data Lakes/Warehouse through definition of data lake/warehouse zones, data flows across zones, file format, compression and other optimizations. Services that we are interested in are DMS, Athena, GLUE, python/Pyspark/Apache Spark In depth knowledge and experience in big data technology

 
location: Cedar Rapids, Iowa
job type: Contract
salary: $40 - 54 per hour
work hours: 8am to 4pm
education: Bachelors
 
responsibilities:
Looking for someone who can understand the vision that's laid out by architects and helps put together an implementation/execution roadmap on how we can achieve our goal to transition warehouse functionality to AWS. Understands Strategic vision that's laid out by Global architects on cloud adoption and help put together a roadmap to move datawarehouse functionality that's on-prem to AWS Create proof-of-concept/pilots of services/methods for US Data Warehouses, Data Lakes, Operational Data Stores and BI/Analytics pipelines. Will lead and coach data engineering, modelling and QA teams to build cloud-based data lakes, data warehouses and data processing pipelines. Will work collaboratively with data scientists, product managers, enterprise architects and senior management to build and continuously improve data infrastructure value to business Create standards, designs and best practices for building enterprise Data Lakes/Warehouse through definition of data lake/warehouse zones, data flows across zones, file format, compression and other optimizations Main focus for this individual will be guide resources on choice of services to use to build a functionality, get resources up to speed on best practices, standards and in general bring in the data expertise. As needed roll up the sleeves and do some development work as well. Services that we are interested in are DMS, Athena, GLUE, python/Pyspark/Apache Spark In depth knowledge and experience in big data technology

The essential functions of this role include:

  • working in a smoke free environment
 
qualifications:
  • Experience level: Experienced
  • Minimum 3 years of experience
  • Education: Bachelors
 
skills:
  • AWS
  • Data Analysis
  • DMS, Athena, GLUE, python/Pyspark/Apache Spark In depth knowledge and experience in big data technology

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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