ETL Developer

CGI•Fairfax, VA

3h•$85,800 - $209,100•Hybrid

About The Position

CGI Federal is seeking a motivated and customer-oriented professional to support a large federal client. This role involves designing, implementing, and managing ETL processes and data integration to generate valuable business insights. This position is located in our Fairfax, VA office; however, a hybrid working model is acceptable.

Requirements

8+ years of relevant experience.
Experience working directly on a data science team.
Experience with tools, including object-oriented programming (Python, Java), computational analysis tools (R, MATLAB), and associated data science libraries (scikit-learn).
Proficiency in data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js to communicate findings and relate them back to how your insights create business impact.
Experience with cloud-based ETL solutions (e.g., AWS Glue, Azure Data Factory).
Knowledge of Big Data technologies (e.g., Hadoop, Spark).
Certification in relevant ETL or data integration technologies.
Bachelor's Degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline.
Ability to obtain and maintain a Public Trust.
Due to the nature of this government contract, US Citizenship is required.

Responsibilities

ETL Process Design and Development: Design and implement ETL processes to extract data from various sources, transform it according to business requirements, and load it into target databases or data warehouses.
Develop and maintain ETL scripts, stored procedures, and functions.
Data Integration and Management: Generate new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets.
Analyze data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g., SAS, SPSS, and Oracle); build analytical solutions using programming languages (e.g., R, Python, SAS), and programming libraries (e.g., Python SciKit, R Caret, PostgreSQL MADlib, Apache Spark MLlib).
Ensure data integrity, consistency, and quality throughout the ETL process.
Collect and transform structured, unstructured, relational, and NoSQL data using ETL and ELT tools, as well as develop custom code using programming languages.
Understand and use distributed methods (e.g., MapReduce) that scale to multi-Terabyte sized data collections.
Interpret and evaluate the accuracy of results through iterative, agile methods.
Apply data discovery and data visualization tools (e.g., Tableau, Trifacta) to develop compelling, actionable, and useful data stories.
Work closely with data SMEs, business, and management to prioritize business and information needs.