Georgia IT INC

Georgia IT INC

Big Data Engineer-Richmond, VA

Richmond, Virginia

Sponsorship not specifiedDetected 52 days ago
PythonJavaScalaNoSQLAWSDockerTerraformAnsibleRESTKafkaMachine LearningSparkData EngineeringData ScienceEHR/EMR

About the role

  • • 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.

Responsibilities

  • 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.
  • Familiar with data science model building concepts as well as consuming and from Data Lake.

Requirements

  • 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 micro services: Python, Java, or Scala
  • At least 1 year of experience in cloud
  • At least 1 year of experience in cloud technologies: AWS, Docker, Ansible, or Terraform

Nice to have

  • 5+ years of data modeling and data engineering skills
  • 3+ years of micro services architecture & RESTful web service frameworks
  • 3+ years of experience with JSON, Parquet, or Avro formats
  • 2+ years of creating data quality dashboards establishing data standards
  • 2+ years' experience in RDS, NOSQL or Graph Databases
  • 2+ years of experience working with AWS platforms, services, and component technologies, including S3, RDS and Amazon EMR

Skills

  • AWS, Docker, Ansible, or Terraform
  • At least 1 year of agile experience
  • At least 1 year of experience in streaming data platform including Apache Kafka and Spark

Benefits

  • Build pipelines to enable features to be provisioned for machine learning models.

Company info

  • Develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business customers.
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