Overview We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a deep understanding of Microsoft Azures Data Analytics Platform and possess extensive experience with tools
Job Description: Data Engineering & Warehousing Engineer Job Title: Data Engineering & Warehousing Engineer Experience: 3–11 Years Location: Riyadh - Onsite Employment Type: Full-Time Job Overview We are seeking a highly skilled Data Engineering & Warehousing
Role Summary We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using cloud technologies and ETL tools. Key Responsibilities Architect and implement high-performance ETL/ELT pipelines on [Azure data Factory]. Optimize data
Role Summary We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using cloud technologies and ETL tools. Key Responsibilities Architect and implement high-performance ETL/ELT pipelines on [Azure data Factory]. Optimize data
Company Overview 10Pearls is a global, purpose-drivenAI-Native digital engineering partnerhelping businesses re-imagine, digitalize, and accelerate. As an end-to-end digital technology partner, 10Pearls helps businesses create future-proof, transformative digital products that leverage emerging technologies. 10Pearls clients include
Data Pipeline Development: Builds understanding of the data needs of the clinet and designs, constructs, installs, tests, and maintains highly scalable data management systems using Microsoft Fabric suite (Azure Data Factory, Azure Synapse Analytics, etc.) and other relevant technologies
We are seeking a skilled Principal DevOps Engineer to enhance DevOps practices by embedding security into every phase of the development lifecycle. The ideal candidate will design, implement, and manage secure CI/CD pipelines, ensure compliance with industry
We are seeking a skilled and experienced Data Engineer with expertise in PySpark and Azure Data Factory to join our team. The ideal candidate will have a minimum of 5 years of professional experience in data engineering
We are undergoing a significant data transformation to ensure that accurate and consistent data is available precisely when and where its needed. Responsibilities: Write PySpark and SQL scripts to validate data pipelines, transformations, and integrations. Design