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Role & responsibilities Engage with customers to understand business requirements and recommend AI solutions. Design AI infrastructure, private AI, hybrid cloud, and enterprise AI architectures. Prepare technical…
Design and build scalable data pipelines and real-time streaming solutions using Spark, Kafka, and cloud platforms to transform raw data into actionable insights for enterprise clients.
Builds and maintains scalable ETL/ELT pipelines and real-time streaming systems using Spark, Kafka, NiFi, Airflow and Cloudera Hadoop across cloud and on-prem environments.
Build and maintain scalable data pipelines and infrastructure for a high-growth UAE tech firm, ensuring reliability and quality for AI/ML workloads.
Build and optimize cloud data pipelines in Snowflake, orchestrate workflows with Airflow, and transform data using dbt to support enterprise analytics.
Designs and builds scalable ETL pipelines using Informatica IDMC and Snowflake for a banking client, ensuring data accuracy and supporting migrations.
Designs and optimizes Snowflake data pipelines, implements ELT with dbt, and orchestrates workflows using Apache Airflow for enterprise analytics.
Build and maintain scalable data pipelines in Python/SQL, using cloud platforms and streaming tools to feed AI/ML workloads in a high-growth UAE tech business.
Designs and builds enterprise ETL pipelines using Informatica IDMC and Snowflake for a large banking client, ensuring data accuracy and performance.
Build and maintain scalable data pipelines and warehouses for an AI-driven e-learning platform, integrating SaaS tools and enabling analytics across Product, Marketing, and Revenue teams.
Build and maintain scalable data pipelines for AI/ML products, fraud detection, and recommendation engines using Kafka, Spark, Airflow, and Python in a hybrid Dubai role.
Designs and maintains scalable data pipelines and storage systems to ensure reliable data access for business insights and decision-making.
Build and optimize scalable data pipelines using Microsoft Fabric, Azure Synapse, and SQL Server to power analytics and AI initiatives for a global trading broker.
Design and build scalable data pipelines using Python, PySpark, Databricks, and AWS for enterprise clients.
Designs and builds scalable Azure-based data pipelines and platforms to support analytics, BI, and AI initiatives for a fintech trading company.
Designs and maintains scalable data pipelines and storage systems using Python, SQL, and Snowflake to ensure reliable, high-quality data for analytics and decision-making across a large retail group.
Build and maintain Snowflake data pipelines, tables, and dbt models for a healthcare analytics platform, ensuring smooth daily data loads and file ingestion.
Build and deploy AI/ML models on Databricks to analyze Miral Destinations data and deliver actionable insights for business decisions.
Design and deploy generative AI models to solve real-world business problems, collaborating with teams to move solutions into production.
Teach undergraduate courses in data engineering and data science, focusing on building robust data workflows for AI systems like LLMs, using tools such as SQL, Python, Spark, and Hadoop.
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