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Data Engineer Data Analytics
4 weeks ago
Peraton seeks a Data Engineer to provide technical contributions to Elasticsearch, Apache NiFi, Apache Kafka, Apache Spark, and Python based extract, transform, load (ETL) data processing pipelines and data quality monitoring using Cyber and Electromagnetic Spectrum (EMS) data.
Translate proposed business processes into corresponding automated data pipelines to ensure the right data is available to supported teams at the right location and format.
Create, modify, and automate production-grade ETL pipelines and data monitoring tools like Grafana, Prometheus, or Logstash.
Communicate with other data and machine learning engineers about combining compressed, JSON, parquet, database, and data lake-based datasets into a cohesive dataset capable of facilitating business processes.
Participate in the software development and deployment using Elasticsearch, Apache NiFi, Apache Kafka, Dask, Prefect, or Pachyderm, Apache Spark, Grafana, Markdown.
Key Responsibilities:
- Deploy and manage Data Science tools in AWS and Azure
- Implement and manage services that support DevSecOps workflows
- Translate proposed business processes into corresponding automated data pipelines
- Create, modify, and automate production-grade ETL pipelines and data monitoring tools
- Communicate with other data and machine learning engineers
Requirements:
- 5+ years of experience in deploying and managing Data Science tools in AWS and Azure
- 1+ years of direct technical experience with Apache ecosystem data engineering projects
- 1+ years of direct technical implementation experience with Python based ETL of JSON, compressed, and columnar datasets
- Experience with Dask, Prefect, Pachyderm, Airflow, or similar Python ecosystem data engineering projects
- Top Secret SCI clearance with the ability to obtain MEAD
Peraton is an equal opportunity employer and welcomes applications from diverse candidates.