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Facilitative Employment Services - Kamayi in Dubai seeks a data solutions engineer with 5–7 years in Oracle PL/SQL and data integration. You will design databases, build reports, and optimize data pipelines across AWS Redshift and Hadoop ecosystems.
You will collaborate with cross‑functional teams, document architectures, and ensure data quality from ingestion to reporting for aviation‑adjacent domains. Excellent communication in English is essential.
1. Database & Report Solution Design
Design and build enterprise-grade database solutions that meet complex business and technical requirements.
Develop and maintain comprehensive reporting solutions ensuring data accuracy consistency and timeliness.
Create and manage stored procedures functions triggers and packages using Oracle PL/SQL to support business logic and data processing needs.
Build and optimize data models and schema designs to support scalable and maintainable database architectures.
2. Data Integration & Warehouse Development
Design develop and maintain data integration and data warehouse solutions to consolidate data from complex and disparate source systems.
Gather and analyze data integration requirements from business and technical stakeholders translating them into scalable and efficient technical solutions.
Perform data transformation cleansing and enrichment activities to ensure high-quality reliable data pipelines.
Support the development and maintenance of ETL workflows and data flows across multiple platforms and environments.
3. Performance Tuning & Query Optimization
Conduct performance tuning of SQL queries stored procedures and data flows to ensure optimal system responsiveness and efficiency.
Apply advanced SQL and PL/SQL techniques for bulk data processing minimizing resource consumption and maximizing throughput.
Identify diagnose and resolve data-related issues bottlenecks and performance degradation in a timely and systematic manner.
Monitor and proactively maintain the health and performance of database environments in production and non-production settings.
4. Data Analysis & Insight Generation
Perform in-depth data analysis across large and complex datasets to surface meaningful business insights.
Build and deliver data reports and dashboards that support informed decision-making across business functions.
Validate data integrity and accuracy throughout the data lifecycle from ingestion through to reporting outputs.
Interpret data patterns and trends to provide recommendations aligned with business objectives.
5. Collaboration & Stakeholder Engagement
Collaborate effectively with technology and business teams to understand project requirements and deliver against shared goals.
Participate in technical discussions solution reviews and design sessions with cross-functional teams.
Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders.
Contribute to documentation of technical designs data dictionaries and solution architectures to support knowledge transfer and maintainability.