If you are interested in this position:
Download the skills matrix using the button below and fill it out.
Email us and attach the completed skills form and your most recent resume to us at:
jobs@iodatasphere.com Please include '10398MI Skills Form' and your name in the subject line.
NOTE: Candidates must be local to the Lansing, Michigan area (within 120 miles) at time of submission. Relocation not allowed. Hybrid Work Schedule (Non-Negotiable) - 2 days per week onsite (Monday & Tuesdays). On-site interview required.
We can accept H1b, H4, TN and other valid work visas for IT. However we cannot accept OPT or CPT visas at this time.
Description:
Our client is looking for an Senior Data Engineer responsible for supporting Master Data Management (MDM) initiatives and the Information Services environments.
Tasks
Develops Information Services needs as well as evaluating, recommending and supporting technological solutions and Data Management architecture and software.
Work closely with agency customers and IT teams to turn data into critical information and knowledge that can be used to make sound business decisions. It is essential that the ETL developer build an understanding of the business at a level of detail that enables them to identify and address critical business issues.
Manage data that is accurate, congruent and reliable, and ensure the information is easily available to users for direct consumption or integration with other systems.
Educates and trains clients to use the data as an analytical tool, displaying the information in new forms and content for the purpose of analysis and option exploration.
Works with clients to determine business requirements, priorities
Define key performance indicators (KPI)
Develop Data Warehouse (DW) and Data Management strategy.
Work with business and IT development teams to design and implement enterprise data lakes, data marts, data warehouses and design and implement dashboards, alerts, and business analytics solutions and reports.
Knowledge, Skills and Abilities Required:
Experience working in large, complex, enterprise environments with multiple data sources
Skills Required
5+ years - Hands-on experience with IBM Cloud Pak for Data
5+ years - Hands-on experience with IBM Knowledge Catalog, including enabling and supporting the migration of existing IBM DataStage workloads to Cloud Pak for Data
5+ years - Hands-on experience with IBM Manta
Experience defining and enforcing data architecture standards, patterns, and best practices
Ability to translate business requirements into scalable data architecture solutions
Experience working in large, complex, enterprise environments with multiple data sources
