Data Scientist
Grvty•Chantilly, VA
•Onsite
About The Position
GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance to join one of our top projects in Chantilly, VA. The role involves supporting the Customer with requirements for new system capabilities, the extension and maintenance of bulk data pipelines, and enhancements for multiple applications within the customer's cloud computing environment.
Requirements
- Active TS/SCI with Polygraph Clearance
- 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.
Nice To Haves
- 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).
Responsibilities
- Support the Customer with the requirements for new system capabilities.
- Support the extension and maintenance of bulk data pipeline.
- Support enhancements for multiple applications in the customers' cloud computing environment.
- Process and convert OS and Data Logs into reports and metrics Dashboards.
- Perform extensive data review and data quality analysis.
- Develop ETL design documentation including source and target mapping and data dictionary information.
- Interface with customers and integration partners for gaining and clarifying detailed objectives.
- Support Agile development by contributing to tasking definition, scope and review.
Benefits
- Robust health plan including medical, dental, and vision
- Health Savings Account with company contribution
- Annual Paid Time Off and Paid Holidays
- Paid Parental Leave
- 401k with generous company match
- Training and Development Opportunities
- Award Programs
- Variety of Company Sponsored Events
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
