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Build and maintain AWS-based data pipelines for Safran Aircraft Engines, ingesting MES/ERP/PLM and IoT feeds, transforming them in a medallion lakehouse, and enabling business teams with Power BI dashboards.
Design and maintain real-time data pipelines from MES/ERP systems into an AWS Lakehouse using PySpark, Redshift, and Glue, ensuring data quality and traceability.
Design and maintain scalable ETL/ELT pipelines using Microsoft Fabric, Azure Synapse, and Spark, delivering clean datasets for analytics and ML in a cloud-native environment.
Leads a team to design, build, and deploy Azure-based data pipelines and analytics solutions using Databricks, PySpark, and SQL, ensuring scalability and governance.
Design and optimize scalable data platforms and pipelines using Python, PySpark, and Databricks to build Lakehouse architectures and cloud-native data lakes/warehouses.
Lead enterprise data engineering and analytics teams to design scalable data platforms using Azure, Databricks, and Power BI for executive reporting and digital transformation.
Designs and optimizes scalable data platforms using Python, PySpark, Databricks, AWS, and SQL to build batch/real-time pipelines and lakehouse solutions.
We are looking for an experienced Senior Data Engineer with strong expertise in PySpark, Python, and Cloudera Data Platform (CDP) to join a high-performing Data Engineering team supporting enterprise-scale Digital…
Senior Data Engineer builds and migrates data pipelines to Databricks, optimizes PySpark transformations, and aligns with CI/CD IaC practices in Azure-heavy environments.
Designs, builds, and maintains scalable PySpark-based data pipelines for production, handling ingestion, transformation, validation, and deployment with Python, SQL/NoSQL, and CI/CD tools.
Build and optimize scalable data pipelines on Databricks and AWS using Python, PySpark, and SQL for enterprise clients.
Build and maintain scalable data pipelines using Kafka, Spark, Airflow, and Python to power AI/ML products, fraud detection, and recommendation engines in a hybrid Dubai role.
Build and optimize Databricks pipelines using Delta Live Tables and PySpark, migrate legacy systems to modern CI/CD, and ensure output equivalence with Palantir Foundry.
Designs, builds, and optimizes production-scale PySpark pipelines for data ingestion, transformation, and validation using Python and Spark performance tuning.
Designs and builds scalable Azure data pipelines and analytics solutions for automotive clients, integrating SAP and other sources using Databricks, Azure Data Factory, and PySpark.
Build and optimize PySpark pipelines for production data ingestion, transformation, and feature engineering in a consulting role.
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.
Design and build scalable data pipelines using Python, PySpark, Databricks, and AWS for enterprise clients.
Builds and maintains backend services and ETL pipelines using Node.js, Python, and PySpark for a UAE-based product team.
Build and optimize large-scale PySpark and Python data pipelines on Cloudera for banking and digital-product analytics, ensuring high-quality, secure data flows that power BI and ML workloads.
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