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Data Scientist

Bespoke Technologies Chantilly, Virginia, United States

16 h ago
data-scientist Senior (5-10 yrs) Full-time United States
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About the role

Support the customer with requirements for new system capabilities and the maintenance of bulk data pipelines. Enhance multiple applications within the customer's cloud computing environment.

What they look for

Spark Pyspark Python Data mapping ETL CloudWatch Kibana RegEx SQL MySQL PostgresSQL XML JSON Data modeling Agile Databricks

Requirements

Requires demonstrated experience with big data processing technologies like Spark and Python, as well as ETL and data mapping. Candidates must possess an active Poly clearance to be considered for this role.

Full description

BT-478 – Data Scientist Location: Chantilly

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

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.

Requirements

  • 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 CloudWatch and Kibana.
  • Demonstrated experience processing and converting of OS and Data Logs into reports and metrics Dashboards.
  • Demonstrated experience with Regular Expressions (RegEx).
  • 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.

Optional Skills

  • 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 DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS.
  • Demonstrated experience working with Elastic, ElasticSearch/Logstash/Kibana (ELK stack).

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