Job Description
For more details, please connect with Gautmi Jain at 303-990-5305 or email at [email protected]
Summary:
This project is to modernize aging Data Warehouse and Data Analytic systems utilizing new on-premises cloud- and container-based technologies.
Required Skills:
- 84 months of experience working with IBM InfoSphere Identity Insight to identify true identities across multiple data sources, and to discover and analyze relationships between identities.
- 84 months of experience utilizing visual analysis tools, such as IBM i2 Analysts Notebook, to design data visualizations for uncovering criminal or fraudulent activity.
- 84 months of experience designing and documenting information systems architectures
- 84 months of experience of troubleshooting and optimization experience of tiered and cloud architectures
- 84 months of experience with Db2 running on AIX, zLinux, and/or z/OS
- 48 months of experience designing, building, and refining predictive models
Responsibilities:
- Design, implement, and document processes to convert relational data from multiple sources to be used by IBM InfoSphere Identity Insight building graph database entities for relationship analysis.
- Design, implement, and document ETL and ELT data integration solutions sourcing data from Db2, streaming services (ex. IBM Event Streams/Kafka), and messaging services (ex. IBM MQ) utilizing DataStage and/or custom solutions written in Python.
- Provide expert knowledge on, and support for analysts who use, graph databases.
- Design and perform data transformations utilizing tools such as DataStage NextGen and Data Refinery running on IBMs Cloud Pak for Data.
- Design and implement data visualizations utilizing tools such as i2 Analysts Notebook and Cognos Analytics.
- Provide expert analysis and support for developers and analysts working on predictive models in either SPSS or Cloud Pak for Data.
- Provide expert data and business analysis to help build and maintain data governance definitions, rules and data lineage.
Job Tags
Part time,