22 May
Senior Data Engineer
Virginia, Richmond

Title: Data Engineers

Location: Richmond

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.


Basic Qualifications:


  • 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


Preferred Qualifications:


  • 5+ years of data modeling and data engineering skills

  • 3+ years of microservices 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


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