Top Skills :
Title : Data Warehouse Engineer/Architect
Location: Mclean, VA
Responsibilities:
*Build data ecosystems that are aligned with Enterprise standards and create a robust data environment which will enable effective controls, create operational efficiency and enable Machine Learning for our users.
*Work with data scientists to define best practices and help them to perform advanced data science, modeling and analytics. Integrate with existing Data Management platforms to ensure discoverability, accuracy and currency of data. Become an SME to develop intelligent risk management and fraud intelligence engines and services.
*Work to deliver environments that are integrated with All Data Management and Data Access & Protection platforms to provide a high fidelity, well managed data discovery for model builds
*Integrate with model development environments and leverage model progression pipelines to streamline our ability to promote models to productions
integrate with model development execution platforms
*Build microservices to fully automate and integrate the full lifecycle of issues & events management into our real-time, event-based data ecosystem in the public cloud
*Build platforms and ML-driven capabilities to support investigations of AML and other financial crimes
*Develop governance capabilities for the company's advanced analytic environments where data scientists rapidly build and deploy models & algorithms
Basic Qualifications
Bachelor's Degree or Military experience
At least 6 years of experience
At least 6 months of experience working with AWS
At least 6 months of experience working with AWS
Experience with Spark, Python is mandatory
Experience with SQL, Data Lake, ETL
Preferred Qualifications
Experience in designing dynamically scalable, highly available, fault-tolerant, and reliable applications on AWS
Deep knowledge of appropriate AWS services to design based on given requirements (including but not limited to environment networking, security & compliance, compute, data security, logging, identity and access management, data storage and management, and analytics)
Experience in Migrating complex, multi-tier applications on AWS
Experience in Designing and deploying enterprise-wide scalable operations & infrastructure on AWS
2+ years of experience delivering analytical data warehouse solutions
3+ years of experience building data pipelines and fit for purpose data stores
1+ years of experience working with Spark
1+ years of experience working with microservices
1 + years of experience working with automated build and continuous integration systems
Job Type: Contract