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.
Numbers & Facts
Location
Leesburg, VA
Skills
Amazon Simple Storage Service (S3)unmatched
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Business Intelligenceunmatched
Business Intelligence Softwareunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Data Analysisunmatched
Data Lakeunmatched
Data Managementunmatched
Data Martunmatched
Data Modeling Toolsunmatched
Data Scienceunmatched
Data Setsunmatched
Data Structuresunmatched
Data Warehousingunmatched
Database Architectureunmatched
Database Extract Transform and Load (ETL)unmatched
English Languageunmatched
Identify Issuesunmatched
Informaticaunmatched
Information Technology & Information Systemsunmatched
JDBC (Java Database Connectivity)unmatched
JSONunmatched
Javaunmatched
MicroStrategyunmatched
Microsoft Product Familyunmatched
Microsoft SQL Serverunmatched
NoSQLunmatched
Oracle Databaseunmatched
Perl Programming Languageunmatched
PostgreSQLunmatched
Power BIunmatched
Presentation/Verbal Skillsunmatched
Problem Solving Skillsunmatched
Python Programming/Scripting Languageunmatched
SQL (Structured Query Language)unmatched
Stored Proceduresunmatched
Technical Deliveryunmatched
United States Citizenunmatched
Unix Shell Programmingunmatched
Vehicle Drivingunmatched
Virtualizationunmatched
Writing Skillsunmatched
XML (EXtensible Markup Language)unmatched
erwin Data Modelerunmatched
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