More jobs:
Data Scientist; DS/V
Job in
Chantilly, Fairfax County, Virginia, 22021, USA
Listed on 2026-10-26
Listing for:
teampointblank
Full Time
position Listed on 2026-10-26
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Cloud Computing: Infrastructure & Operations, Data Scientist
Job Description & How to Apply Below
Support Customer with the requirements for new system capabilities, the extension and maintenance of bulk data pipeline and enhancements for multiple applications in the customers' cloud computing environment.
Notes:
* COUNT ON GREAT SALARY
* Position requires a current TS/SCI clearance with poly
Individual Capabilities/Experience Required- Demonstrated experience utilizing big data processing tech such as Spark, Pyspark, and Python.
- Demonstrated experience data mapping, extraction, transformation and loading.
- Demonstrated experience building analytic reports in tools such as Cloud Watch and Kibana.
- Demonstrated experience processing and converting of OS and Data Logs into reports and metrics Dashboards.
- Demonstrated experience with Regular Expressions (Reg Ex).
- Demonstrated experience with SQL, MySQL, PostgresSQL.
- Demonstrated experience with Data file type processing XML, JSON.
- Demonstrated experience with IDEs and Data Modeling through Notebooks and Visual Studio.
- Demonstrated experience ETL’ing data from disparate structured & unstructured data formats into enriched, query-friendly structured data in indexed files.
- Demonstrated experience performing extensive data review and data quality analysis.
- Demonstrated experience developing ETL design documentation including source and target mapping and data dictionary information.
- Demonstrated experience interfacing with customers and integration partners for gaining and clarifying detailed objectives.
- Demonstrated experience supporting Agile development by contributing to tasking definition, scope and review.
- Demonstrated experience deploying capabilities on the Databricks unified analytics platform.
- Demonstrated experience with Elastic Map Reduce to run big data workloads.
- Demonstrated experience in joining multiple complex data sets using Spark.
- Demonstrated experience in tuning Spark streaming and batch jobs for cluster utilization and speed.
- Demonstrated experience in deploying complex, notebook-based pipelines.
- Demonstrated experience in Python data analysis libraries such as Pandas.
- Demonstrated experience utilizing Cloud services such as Lambda, SNS/SQS, or EC2.
- Demonstrated experience with Dev Ops tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS.
- Demonstrated experience working with Elastic, Elastic Search/Logstash/Kibana (ELK stack).
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