Overview
On Site
$67 - $70
Accepts corp to corp applications
Contract - W2
Contract - 30 Month(s)
No Travel Required
Skills
IBM DB2
IBM Cognos Analytics
IBM Cognos Framework Manager
Google Cloud Platform
IBM InfoSphere DataStage
Database Administration
IBM Cognos Report Studio
Performance Tuning
Data Governance
Data Integration
Google Cloud
Linux
Machine Learning (ML)
OLTP
Extract
Transform
Load
IBM SmartCloud
Data Modeling
Data Loading
ERwin
Oracle Db
SAP BASIS
Scripting
Meta-data Management
Job Details
Job Title: Database Architect
Location: Albany, NY - Hybrid
Duration: 30 Months Contract +
Required Skills:
- 72 Months DB2, Oracle, Google Cloud Database Administration: experience in administering databases on bare metal Linux environments, including installation, configuration, performance tuning, backup/recovery, and security management
- 84 Months Red Hat Linux Proficiency: experience in Red Hat Linux operating systems, including command-line administration, scripting, and system troubleshooting.
- 84 Months Data Modeling Experience: experience with data modeling techniques and tools, specifically Erwin Data Modeler, for designing and maintaining OLTP systems.
- 84 Months IBM Cognos Analytics Skills: Experience in developing, deploying, and maintaining reports and dashboards using IBM Cognos Analytics. This includes knowledge of Cognos Framework Manager, Data Modules, Report Studio, and related components.
- 60 months Oracle Data Warehousing Knowledge: experience in data warehousing concepts on Oracle, DB2, or BigQuery platforms.
- 60 months Data Integration Expertise: Experience with data integration tools and techniques, particularly IBM DataStage, for designing, developing, and executing ETL processes.
- 60 months IBM Cloud Pak for Data / Knowledge Catalog Experience: Experience implementing, managing, and utilizing IBM Cloud Pak for Data, specifically the Knowledge Catalog, for metadata management, data governance, and data lineage.
- 84 Months Snowflake Data Warehouse Experience: Experience with Snowflake Data Warehouse, including data loading, performance optimization, and query development.
- 84 Months AI/ML experience in Artificial Intelligence (AI) and Machine Learning (ML) concepts, data preparation, model deployment, and model monitoring.
- 84 Months Communication and Collaboration experience collaborate with business analysts, developers, data scientists, and other stakeholders.
Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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