Data Engineer AWS - Leesburg Virginia

Company: Fracsys Inc
Location: Leesburg, Virginia
Posted On: 04/27/2024

Job Description
Job Description
Fracsys 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.
**Responsibilities

**

• Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory
  
  Data Analysis, Data Wrangling,
  
• Write complex SQL queries and stored procedures to extract, manipulate, and analyze data from
  
  relational databases
  
• Conduct diagnostic, troubleshooting steps and present conclusions to a varied audience
  
• comfortable slinging some code to solve a problem
  
• Build Data Marts and Data warehouses to facilitate analytical capabilities across the varied sources of data
  
• Design and implement data patterns on cloud using cloud Data warehouse and data virtualization tools
  
• Evaluate new tools and technologies for target state on cloud
  
• Learn and implement new ETL, BI tools and data warehousing technologies
  
  **Qualifications
  
  **
  
  
  
  • Senior Data professional with over 8 years of expertise in Data Engineering, Data Analysis, and Data
    
    Science.
    
  • Experience creating Data Marts, Data warehouses on-premise and on cloud for real time and batch processing frameworks
    
  • Experience building and optimizing big-data data pipelines and data sets including Postgres, AWS Relational Data Service
    
  • extensive hands-on experience building and optimizing data structures for data analytics, data science and business intelligence
    
  • Experience building self-service data consumption patterns and knowledge of cloud-based data Lake platforms
    
  • Experience wrangling data (structured and unstructured), in-depth knowledge of database architecture
    
  • Experience 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, Redshift
    
  • Experience in snowflake is an added bonus.
    
  • Familiarity with the following technologies: Hadoop, Kafka, Airflow, Hive, Presto, Athena, S3, Aurora, EMR, Spark
    
  • Ability to drive, contribute to, and communicate solutions to technical product challenges
    
  • Ability to roll-up your sleeves and work in process or resource gaps and fill it in yourself
    
  • Excellent written and oral communication skills in English
    
    **Education
    
    **
    Bachelor's degree in computer science, Data Analytics, Information Systems, or a related degree or equivalent experience. Master's degree is preferred. More...

        

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