Brillient Corporation

Database Administrator

• Design, build, and maintain ETL processes moving data into the Compliance Data Warehouse (CDW)
• Apply statistical and machine learning techniques to produce predictive models and actionable insights
• Support CDW operations within RAAS through data analysis, process improvement recommendations, and research and evaluation of emerging technologies
• Extract data and tables from Unix/Linux systems and transform and load them into Sybase IQ and Postgres
• Refactor existing ETL jobs and build new solutions
• Build an object-oriented, Unix-based framework of scripts and stored procedures to run and monitor ETL and statistics processes
• Develop and run shell, SQL, and Python scripts for data processing, automation, and analytical workflows
• Build repeatable, scalable data pipelines and analytical processes
• Troubleshoot shell and SQL errors and configure and operate SSH clients across servers
• Prepare, clean, transform, and explore data; engineer features using Pandas and NumPy
• Analyze large, complex datasets to identify trends, patterns, relationships, and actionable insights
• Develop, implement, evaluate, and maintain statistical and machine learning models
• Validate model results, assess performance, and improve accuracy and reliability
• Conduct exploratory and statistical analysis for data-driven decision-making
• Develop and document analytical workflows and models in Jupyter Notebook
• Optimize ETL processes and resolve performance bottlenecks and failures
• Validate, cleanse, and audit data; collaborate with Data Quality to resolve inconsistencies
• Work with Data Architects to design data models and schemas
• Translate business and mission requirements into ETL and analytical solutions
• Document ETL processes, workflows, data dictionaries, methodologies, models, assumptions, and results
• Help users move data into Sybase IQ and provide metadata for the metadata repository
• Present technical findings to technical and non-technical audiences
• Participate in Scrum and client meetings and maintain Kanban board cards
• Work in Linux/Unix and Windows environments, including OpenShift, Kubernetes, containerized, and distributed platforms
• Monitor emerging ETL, data science, ML, and AI technologies and recommend process and infrastructure improvements

Explore Database Administrator at Brillient Corporation. Review requirements and application details.