Big Data Engineer-Richmond, VA

Big Data EngineerLocation: Richmond, VADuration: ContractRate: DOEOverall 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 platformAt least 3 years of experience working with unstructured datasetsAt least 3 years of experience developing micro services: Python, Java, or ScalaAt least 1 year of experience building data pipelines, CICD pipelines, and fit for purpose data storesAt least 1 year of experience in cloud technologies: AWS, Docker, Ansible, or TerraformAt least 1 year of agile experienceAt least 1 year of experience with a streaming data platform including Apache Kafka and SparkPreferred Qualifications:5+ years of data modeling and data engineering skills3+ years of micro services architecture & RESTful web service frameworks3+ years of experience with JSON, Parquet, or Avro formats2+ years of creating data quality dashboards establishing data standards2+ years' experience in RDS, NOSQL or Graph Databases2+ years of experience working with AWS platforms, services, and component technologies, including S3, RDS and Amazon EMR