Overview
On Site
Full Time
Accepts corp to corp applications
Skills
Database
Cloud Computing
Datastage
IBM DB2
Oracle
Google Cloud Platform
Google Cloud
Database Administration
Backup
Recovery
Security Management
Linux
Red Hat Linux
Command-line Interface
Shell Scripting
Data Modeling
ERwin
OLTP
Dashboard
IBM Cognos Analytics
IBM Cognos Framework Manager
IBM Cognos Report Studio
Oracle Db
Data Integration
IBM InfoSphere DataStage
Extract
Transform
Load
Workflow
Management
IBM SmartCloud
Meta-data Management
Data Governance
Snow Flake Schema
Data Warehouse
Query Optimization
Performance Tuning
Artificial Intelligence
Machine Learning (ML)
Communication
Collaboration
LinkedIn
Job Details
Job Title :Senior Database Developer & Cloud DBA (DB2/Oracle, Snowflake, Cognos, DataStage, Google Cloud Platform)
Location: Albany, NY (Hybrid)
We are currently seeking candidates who meet the following qualification
Qualifications:
- Experience in DB2, Oracle, and Google Cloud database administration, including installation, configuration, performance tuning, backup and recovery, and security management in bare-metal Linux environments.
- Proficiency in Red Hat Linux administration, including command-line operations, shell scripting, and system troubleshooting.
- Experience in data modeling using tools such as Erwin Data Modeler to design and maintain OLTP systems.
- Experience developing, deploying, and maintaining reports and dashboards using IBM Cognos Analytics, including expertise with Cognos Framework Manager, Data Modules, Report Studio, and related components.
- Strong understanding of data warehousing concepts on platforms such as Oracle, DB2, or Google BigQuery.
- Experience with data integration tools and processes, particularly IBM DataStage, for designing, developing, and executing ETL workflows.
- Experience implementing and managing IBM Cloud Pak for Data, specifically the Knowledge Catalog, for metadata management, data governance, and data lineage tracking.
- Experience working with Snowflake Data Warehouse, including data ingestion, query optimization, and performance tuning.
- Familiarity with Artificial Intelligence (AI) and Machine Learning (ML) concepts, including data preparation, model deployment, and model monitoring.
- Strong communication and collaboration skills, with experience working effectively alongside business analysts, developers, data scientists, and other stakeholders.
If you meet these qualifications, please submit your application via link provided in Linkedin.
Kindly do not call the general line to submit your application.
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