Senior Oracle Analytics Server OAS BI Developer
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
VAM Systems is currently looking for Senior Oracle Analytics Server (OAS) BI Developer for our UAE operations with the following skillsets & terms and conditions:
1. Educational Background
Bachelors or Masters degree in a relevant field such as:
o Computer Science
o Information Technology
o Data Analytics
o Business Intelligence
o Data Science or a related discipline
2.Certifications (Optional but Beneficial)
- Oracle Analytics Cloud 2022 Professional
- Oracle Database SQL Certified Associate
- Oracle Data Integration and ETL Tools Certification
- Certifications in data visualization or data storytelling (e.g. Tableau Power BI) for complementary skills.
3. Experience Requirements
5 years of experience in designing developing and maintaining Oracle BI solutions including OAS or OBIEE.
Experience in:
- Endtoend BI solution development.
- Migrating from Oracle Business Intelligence Enterprise Edition (OBIEE) to Oracle Analytics Server (OAS).
- Integrating OAS with external systems (e.g. APIs Excel or thirdparty BI tools).
4. Technical Expertise
Core Expertise in Oracle Analytics Server (OAS):
- Proficiency in building interactive dashboards pixelperfect reports and narrative visualizations using OAS.
- Strong understanding of the Oracle BI Repository (RPD):
- Physical Layer
- Business Model and Mapping (BMM) Layer
- Presentation Layer
- Experience in configuring rowlevel and columnlevel security and implementing user/rolebased access controls in OAS.
- Mastery of Oracle BI Publisher for creating formatted reports.
- Expertise in using Data Visualizations and custom features like mapbased visualizations and geospatial analytics.
Database Skills:
- Proficiency in SQL and PL/SQL for data manipulation and querying.
- Strong knowledge of Oracle Database including:
- Query optimization
- Indexing and partitioning
- Working with Oracle Autonomous Data Warehouse (ADW)
- Familiarity with other databases (e.g. SQL Server PostgreSQL) is a plus.
Data Warehousing and BI Concepts:
- Strong understanding of:
- Dimensional modeling (Star Schema Snowflake Schema)
- Fact tables dimension tables and aggregates
- ETL processes for loading and transforming data
- Experience with data warehousing tools like Oracle Data Integrator (ODI) or other ETL tools.
Performance Tuning and Optimization:
- Ability to troubleshoot and optimize the performance of:
- Dashboards
- Reports
- Queries and data models
- Experience with caching strategies materialized views and aggregate tables to improve report performance.
Cloud and Big Data Knowledge (Optional):
- Familiarity with Oracle Analytics Cloud (OAC) for hybrid or cloud deployments.
- Knowledge of integrating OAS with Big Data environments (e.g. Hadoop Spark).
- Understanding of cloud platforms like Oracle Cloud Infrastructure (OCI) AWS or Azure.
Additional Skills
- Scripting and Customization:
- Knowledge of JavaScript CSS and XML for customizing OAS dashboards and reports.
- Experience with scripting tools (e.g. Python or Bash) for automation and integration tasks.
- Big Data and Advanced Analytics:
- Knowledge of integrating machine learning models or advanced analytics features into OAS reports.
- Security and Compliance:
Expertise in configuring Single SignOn (SSO) SSL and ensuring compliance with data security standards like GDPR or HIPAA.
Soft Skills and Leadership
- Communication Skills: Ability to explain technical concepts to nontechnical stakeholders and gather business requirements effectively.
- ProblemSolving Skills: Proficiency in identifying analyzing and solving complex technical issues.
- Project Management: Experience managing BI projects setting priorities and delivering solutions on time.
- Team Leadership: Ability to mentor junior developers and work collaboratively with crossfunctional teams.
- Client Relationship Management: Skilled in managing stakeholder expectations and ensuring alignment with business goals.
Domain: Banking
Terms and conditions
Joining time frame: 15 30 days)
Additional Information :
Terms and conditions:
Joining time frame: maximum 4 weeks
Remote Work :
No
Employment Type :
Fulltime
نوع التوظيف
دوام كامل
