
Description
Description
Big Data Engineer Principal to work in Reston VA:
Roles and Responsibilities:
- Develop and design the application data. Develop and build optimal databases using an agile-like environment to store data coming from legacy systems and provide bi-directional dataflow.
- Interact with the business and Data Engineers and collect the requirements for data model for the target system and from the current system.
- Translate business requirements into conceptual, logical, and physical data models.
- Research, design, develop and implement detailed statistical models, and advanced analytics to support key strategic initiatives.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques with expertise delivery.
- Develop processes and tools to monitor and analyze analytical model performance and data accuracy, providing ad-hoc analysis and visualizations.
- Focus on developing financial, healthcare and supply chain dashboards.
- Use ETL pipelines, pyspark, SSMS, data preprocessing, and data ingestion.
Qualifications
Requires a Bachelor's degree in Enterprise Analytics (or equivalent based on evaluation of academic credentials, training and/or experience) as well as twelve (12) months in job or job related experience to include assess the effectiveness and accuracy of new data sources and data gathering techniques with expertise delivery; interact with the business and Data Engineers and collect the requirements for data model for the target system and from the current system; assess the effectiveness and accuracy of new data sources and data gathering techniques with expertise delivery; use ETL pipelines, pyspark, SSMS, data preprocessing, and data ingestion. Opportunity to work from home. Full-time position at 40 hours/week, Monday through Friday 8:00 a.m. to 5:00 p.m. Apply www.saic.com, Science Applications International Corporation. Job code# 2507187. EOE.
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.
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