Looking for Data Engineers===W2 Role
Location: Richmond, VA
NOTE: Glider Test is a MUST – First round.
USC/GC/GC EAD/TN VISA HOLDERS ARE ENCOURAGED TO APPLY
Due to covid 19 : they will provide remote (Positions will be in Richmond, VA after COVID-19. No other locations will be considered.)
Overall Responsibility :
Develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business customers.
Apply domain driven design practices to build out data applications. Experience in building out conceptual and logical models.
Build out data consumption views and provisioning self-service reporting needs via demonstrated dimensional modeling skills.
Measuring data quality and making improvements to data standards, helping application teams to publish data in the correct format so it becomes easy for downstream consumption.
Big Data applications using Open Source frameworks like Apache Spark, Scala and Kafka on AWS and Cloud based data warehousing services such as Snowflake.
Build pipelines to enable features to be provisioned for machine learning models. Familiar with data science model building concepts as well as consuming and from data lake.
At least 8 years of experience with the Software Development Life Cycle (SDLC)
At least 5 years of experience working on a big data platform
At least 3 years of experience working with unstructured datasets
At least 3 years of experience developing microservices: Python, Java, or Scala
At least 1 year of experience building data pipelines, CICD pipelines, and fit for purpose data stores
At least 1 year of experience in cloud technologies: AWS, Docker, Ansible, or Terraform
At least 1 year of Agile experience
At least 1 year of experience with a streaming data platform including Apache Kafka and Spark