Data Engineer at Domes Resorts responsible for designing data pipelines and supporting analytics. Join E - Commerce, Intelligence & Innovation team to drive business growth through data solutions.
About the role
- Senior Data Management Engineer designing and implementing enterprise data solutions for a global IT leader. Collaboration with stakeholders to ensure data quality and scalability.
Responsibilities
- Design, build, and maintain robust ETL processes and data pipelines using Informatica (PowerCenter, IDQ, or Cloud Data Integration)
- Develop and optimize data integration workflows for structured and unstructured data sources
- Ensure data quality, integrity, governance, and security across enterprise platforms
- Participate in data modeling and architecture discussions
- Collaborate with data architects, business analysts, and application teams to align data solutions with business requirements
- Maintain documentation of data flows, transformations, and system architecture
- Troubleshoot performance bottlenecks and resolve complex data-related issues
- Support enterprise data governance and metadata management initiatives
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or related field
- 3 to 5 years of experience in data engineering or data management roles
- Strong hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration)
- Strong SQL skills and experience with relational databases (Oracle, SQL Server, etc.)
- Solid understanding of data warehousing concepts and enterprise data architecture
- Experience in data governance and metadata management
- Familiarity with cloud data platforms (AWS, Azure, or GCP) is a plus
- Strong analytical and troubleshooting skills
- Very good communication skills in English
Benefits
- Basic salary
- Social insurance
- Family Medical Insurance (BUPA)
- Location: Riyadh, Saudi Arabia
- Work Model: Hybrid – 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client’s premises on a daily basis, depending on the project requirements.
- Working Hours: 9 AM to 6 PM
- Days Off: Fridays and Saturday
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
VP Enterprise Data Architect managing scalable data solutions and architecture for Pacific Life. Leading teams and advancing AI - first data ecosystem.
Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
Senior Data Engineer leading the design and implementation of data pipelines for NVIDIA’s analytics and monitoring systems. Collaborating across teams to enhance data ingestion and analysis capabilities.
Associate Data Engineer at Boeing India supporting API Development and Data migration with a focus on engineering and technology solutions. Involves working independently to gather requirements and supporting architecture for API services and data analytics.
Senior Data Engineer building and maintaining robust data pipelines for various data products at Beep Saúde. Collaborating within the team and leading data governance practices.
Software Developer in Test working on cloud - based data platform at Tecsys. Ensuring quality and reliability of data pipelines and transformations using automation frameworks.
Data Engineer responsible for designing, building, and optimizing data pipelines and architectures in a tech environment. Requires extensive experience with modern data warehousing and cloud platforms.
Lead Data Engineer role at Brillio focusing on AI & Data Engineering with expertise in Azure and MS Fabric. Collaborate within the Data Engineering team in Pune, Maharashtra, India.
Data Architect at Whiteshield designing scalable, secure data architectures for national and enterprise transformation programs. Architecting modern data platforms to support analytics, AI and operational use cases.