Database Architect

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 24 Month(s)

Skills

Artificial Intelligence
Backup
Collaboration
Command-line Interface
Communication
Dashboard
Data Governance
Data Integration
Data Loading
Data Modeling
Data Warehouse
Database
Database Administration
ERwin
Extract
Transform
Load
Google Cloud
Google Cloud Platform
IBM Cognos Analytics
IBM Cognos Framework Manager
IBM Cognos Report Studio
IBM InfoSphere DataStage
IBM SmartCloud
Machine Learning (ML)
Management
Meta-data Management
Operating Systems
Oracle Db
Oracle
Recovery
Scripting
Red Hat Linux
Performance Tuning
Security Management
Snow Flake Schema
OLTP
Linux
IBM DB2

Job Details

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 to collaborate with business analysts, developers, data scientists, and other stakeholders.

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