Data Scientist
About The Position
Acuity, Inc. seeks dynamic, self-motivated individuals with experience as a Data Scientist supporting the client 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. Acuity, Inc., a technology consulting firm that supports federal agencies, combines industry partnerships and long-term federal experience with innovative technical leadership to support our customers’ critical missions. Are you ready to use your expertise in the areas of IT Modernization, Data Enablement, and Hyperautomation to make a real difference?
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.
- TS/SCI w/Poly
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
- Supporting the client with the requirements for new system capabilities
- Extension and maintenance of bulk data pipeline
- Enhancements for multiple applications in the customers' cloud computing environment
- Processing and converting of OS and Data Logs into reports and metrics Dashboards
- Interfacing with customers and integration partners for gaining and clarifying detailed objectives
- Supporting Agile development by contributing to tasking definition, scope, and review
Benefits
- Strong work-life balance and a people-first culture
- Competitive compensation
- Health/Dental/Vision coverage
- 401(k) with company match
- Up to $3,000 annually for training and certifications
- Up to $3,000 for degree seeking programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
