Data Engineer AWS - US Citizens
FRACSYS INC - Leesburg, VA
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Job DescriptionJob DescriptionFracsys Inc is hiring a AWS Data Engineer position. The ideal candidate must have at least 8+ years of industry experience. He or she must be responsible for successful technical delivery of Data Warehousing and Business Intelligence projects. This positions requires US Citizenship due to Clearance requirements.Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.ResponsibilitiesData extraction, Data cleaning, Data Loading, Statistical Data Analysis, ExploratoryData Analysis, Data Wrangling,Write complex SQL queries and stored procedures to extract, manipulate, and analyze data fromrelational databasesConduct diagnostic, troubleshooting steps and present conclusions to a varied audiencecomfortable slinging some code to solve a problemBuild Data Marts and Data warehouses to facilitate analytical capabilities across the varied sources of dataDesign and implement data patterns on cloud using cloud Data warehouse and data virtualization toolsEvaluate new tools and technologies for target state on cloudLearn and implement new ETL, BI tools and data warehousing technologiesQualificationsSenior Data professional with over 8 years of expertise in Data Engineering, Data Analysis, and DataScience.Experience creating Data Marts, Data warehouses on-premise and on cloud for real time and batch processing frameworksExperience building and optimizing big-data data pipelines and data sets including Postgres, AWS Relational Data Serviceextensive hands-on experience building and optimizing data structures for data analytics, data science and business intelligenceExperience building self-service data consumption patterns and knowledge of cloud-based data Lake platformsExperience wrangling data (structured and unstructured), in-depth knowledge of database architectureExperience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle, SQL server, NoSQL, JDBC, UNIX shell scripting, PERL and JAVA, XML/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, RedshiftExperience in snowflake is an added bonus.Familiarity with the following technologies: Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR, SparkAbility to drive, contribute to, and communicate solutions to technical product challengesAbility to roll-up your sleeves and work in process or resource gaps and fill it in yourselfExcellent written and oral communication skills in EnglishEducationBachelor's degree in computer science, Data Analytics, Information Systems, or a related degree or equivalent experience. xijylhu Master's degree is preferred.
Created: 2026-01-03