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Build and maintain scalable data pipelines, warehouses, and semantic models in Microsoft Fabric and Azure Data Factory to power reporting and integrations for nonprofit-focused software.
Senior Data Engineer builds and maintains scalable data pipelines, warehouses, and ETL processes in Azure, SQL Server, and Snowflake to power analytics and reporting for a nationwide bank.
Design and build scalable data platforms and AI pipelines, integrating ML outputs into backend systems using PostgreSQL, Kafka, and Python.
Builds and maintains clean, scalable data models in SQL and dbt to power analytics and reporting for Talabat’s ecommerce operations.
Builds and optimizes scalable ETL/ELT pipelines and ML workloads on Azure using Python and SQL to produce high-quality datasets for AI-driven solutions.
Lead a team to design and maintain scalable data pipelines for AI/LLM systems, including vector search, RAG, and semantic retrieval, ensuring high-performance enterprise data infrastructure.
Design and build Azure-based data platforms for banks in Dubai using medallion architecture, Databricks, and ETL pipelines to deliver analytics-ready datasets and support BI/AI workloads.
Build and maintain real-time data pipelines for a fintech trading platform, ensuring data quality and supporting trading decisions and compliance.
Build and own Ziina’s data pipelines, warehouse, and analytics stack from scratch using Snowflake, Dagster, dbt, and Python to power decision-making and future ML/AI at a fast-growing fintech.
Lead the architecture and operations of data pipelines, integrations, and databases, ensuring high performance and reliability for a fintech platform.
Build and maintain governed data pipelines (ETL/ELT, OCR, embeddings) that feed AI models and KPI dashboards from enterprise systems.
Build and maintain governed data pipelines (ETL/ELT, OCR, embeddings) that feed AI systems and KPI dashboards from enterprise sources like ERP and HR.
Build and optimize cloud-based data pipelines using Microsoft Fabric, Spark, and PySpark to transform raw data into analytics-ready datasets for reporting and BI.
Build and maintain cloud-based data pipelines for batch and streaming analytics, using Python, SQL, Kafka, Airflow, and GCP/AWS services to power business insights and ML at a fast-growing Q-commerce platform.
Designs and maintains scalable data pipelines and cloud-native platforms to ensure reliable, high-quality data for analytics, BI, and AI use cases using SQL, Python, and Azure.
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data for a super-app serving 45+ cities across Africa and Europe.
Builds and maintains big data pipelines using Cloudera CDP, Spark, Hive, and Hadoop to support analytics and production systems.
Senior Data Engineer builds and maintains Azure-based data pipelines, warehouses, and lakehouses to power analytics and AI workloads using PySpark, Azure Synapse, and ADF.
Senior Data Engineer builds and maintains data pipelines, cleans and processes complex datasets, and designs ETL/ELT workflows using Python, SQL, and AWS tools to power Presight’s GenAI-driven analytics platform.
Build and maintain reliable data pipelines for a global fintech, powering trading decisions, compliance, and AI systems with real-time accuracy and governance.
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