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Data Engineer - Associate Technical Architect
Design and build enterprise-scale AWS data platforms and Lakehouse solutions using Spark, Python, and Apache Iceberg, leading architecture through implementation and optimization.
Senior Associate/Project Lead/Manager - Patient Predictive Analytics
Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. The company enables pharmaceutical, medical device, and diagnostics organizations to transform product…
Senior Spotfire Developer (Clinical Data Analytics & Visualization)
Builds and maintains TIBCO Spotfire dashboards for clinical trial data, integrating with Databricks and other sources to support patient monitoring and reporting in a regulated healthcare environment.
Manager, Data Engineering
Lead a team building real-time streaming pipelines and audience segmentation for McDonald’s India’s CDP using Kafka, Flink, and GCP, ensuring low-latency data activation for marketing and loyalty systems.
Data Engineer II
Build and scale real-time customer data pipelines and audience segmentation for McDonald's India's CDP using Kafka, Flink, and GCP, enabling privacy-safe activation across apps, web, and marketing systems.
Manufacturing Data Engineer AWS H/F - SAFRAN AIRCRAFT ENGINES FRANCE
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.
Manufacturing Data Engineer – Real-Time AWS Lakehouse
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.
Senior Data Engineer at Better Solutions FZ LLC
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.
Data Engineering Lead job in Dubai, United Arab Emirates
Leads a team to design, build, and deploy Azure-based data pipelines and analytics solutions using Databricks, PySpark, and SQL, ensuring scalability and governance.
Sr. Data Engineer - PySpark (Banking)
Build and maintain large-scale ETL pipelines and data marts for a banking enterprise using PySpark, Python, and Informatica BDM.
Senior Databricks Data Engineer and Cloud Lakehouse Expert
Design and optimize scalable data platforms and pipelines using Python, PySpark, and Databricks to build Lakehouse architectures and cloud-native data lakes/warehouses.
Senior Data Engineer - Databricks & Cloud Data Lakes
Designs and optimizes scalable data platforms using Python, PySpark, Databricks, AWS, and SQL to build batch/real-time pipelines and lakehouse solutions.
Databricks Data Engineer for SAP BO Reporting
Builds and maintains ETL/ELT pipelines in Azure Databricks using PySpark and Delta Lake, implementing medallion architecture to deliver SAP BO-ready datasets for banking analytics.
Senior Databricks Data Engineer - Onsite Abu Dhabi
Senior Data Engineer builds and migrates data pipelines to Databricks, optimizes PySpark transformations, and aligns with CI/CD IaC practices in Azure-heavy environments.
Production-Scale Data Engineer (PySpark) - Dubai
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.
Data Engineer - Databricks at Flentas Technologies
Build and optimize scalable data pipelines on Databricks and AWS using Python, PySpark, and SQL for enterprise clients.
Data Engineer (Software Engineer, Data)
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.
Senior Data Engineer
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.
Production-Scale PySpark Data Engineer
Designs, builds, and optimizes production-scale PySpark pipelines for data ingestion, transformation, and validation using Python and Spark performance tuning.