Data Scientist

Avalore, LLC; Chantilly; On-site; EUR 65,000 - 100,000; Full time

Benefits offered by this job

Health care plan

Retirement plan (401k/IRA) with match

Life insurance

Paid time off

Disability

Training & development

Employee assistance program

Job summary

Avalore is seeking a Data Scientist to support new system capabilities and extend bulk data pipelines in customers' cloud environments. You will map data, transform and load data, and build analytic reports using tools like CloudWatch and Kibana.

Experience with Spark, Pyspark, Python, SQL/NoSQL, and ELK stack is desired, along with strong data quality analytics and a collaborative, Agile mindset. This role includes travel up to 10% and a focus on scalable data solutions.

Qualifications

• Active Security Clearance with appropriate Polygraph
• 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.

Responsibilities

• Support requirements for new system capabilities and maintain bulk data pipelines.
• Enhance analytics for multiple applications in customers' cloud environments.
• Collaborate with stakeholders to map data sources and define ETL processes.
• Develop dashboards and reports to monitor data quality and system performance.

Skills

Big data processing

Python

SQL

ETL

Agile development

Tools

Spark

Pyspark

Python

CloudWatch

Kibana

Regex

SQL

MySQL

PostgreSQL

XML/JSON

Notebooks

Visual Studio

Databricks

EMR

ELK Stack

Lambda

Job description

As a Data Scientist at Avalore, you will support 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.

• Active Security Clearance with appropriate Polygraph
• 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.

Desired:

• 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).

Work Environment:

• Moderate noise (i.e.business office with computers,phoneand printers) and /or occasional Loud noise (airfield, large equipment).

• Ability to sit at a computer terminal for an extended period of time.

Physical Demands:

• While performing the responsibilities of the job, the employeeis required tosit, stand, talk, andhear.

• Employee isoften required to sit and use their hands and fingers tooperatea computer.

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Travel:

• Up to 10%/ Occasionaltravel.

Avalore will provide reasonable accommodations to applicants who are unable toutilizeour online application system due to a disability. Please send your request [e-mail].

Avalore is an Equal Opportunity Employer - Wenot discriminatebased on age, race, national or ethnic origin, gender,veteransstatus, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.

Eligibility requirements apply.

• Employer Contributions to Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA) with a generous matching program
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Training & Development
• Employee Assistance Program
• Salary at Avalore is determined by various factors, including but not limited to location, the individual's particular combinaition of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.