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Data Engineer (Azure Data Platform) | Focus Infotech | Abu Dhabi, UAE
Build and maintain scalable Azure data pipelines and lakehouse architectures to transform raw enterprise data into analytics-ready datasets for BI and decision-making.
AWS Glue Data Engineer: Lakehouse Ingestion & Automation
Build and optimize AWS Glue-based ingestion pipelines and ETL workflows for a fintech lakehouse, ensuring scalable, compliant data flows.
Senior Data Engineer — AI Lakehouse & SAP Integrations
Senior Data Engineer designs secure data lakehouse pipelines and integrates SAP systems for real-time AI analytics and procurement workflows.
Data Platform Engineer
Build and maintain a scalable data platform using Scala/Java/Python/Go, SQL, and cloud tools like AWS/GCP, collaborating with engineers and analysts.
Senior Data Platform Engineer
Build and optimize scalable data pipelines and platforms using Python, Spark, and GCP, while integrating AI-driven workflows to improve data engineering processes.
Staff Data Platform Engineer
Build and scale a unified data platform for a telecom-as-a-service company, integrating data lakes, warehouses, and real-time pipelines using Spark, Airflow, and Kubernetes.
Data Platform Engineer: Cloud, Data Lakes & CI/CD
Builds and maintains scalable data platforms using SQL, cloud tech, and CI/CD to support analytics and data science teams in a collaborative environment.
Data Engineer
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.
Senior Data Engineer
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
AWS Glue Data Engineer
Builds and optimizes AWS Glue ETL pipelines to migrate financial data into a Lakehouse, using PySpark and Medallion design patterns.
Data Engineer - Cyber Security
Builds real-time security data pipelines and cyber data lakes for a UAE SOC, integrating SIEM/SOAR feeds and threat intelligence to power incident response and compliance reporting.
AWS Glue Data Engineer
Build and optimize AWS Glue ETL pipelines for a Lakehouse, migrating legacy data into Bronze layer using PySpark and Medallion design principles.
AI DevOps / Cloud Engineer (MLOps)
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
DevOps Specialist ( REMOTE)
Build and deploy cloud-native apps on Azure, automate CI/CD pipelines, and manage data lakes for real-time analytics and energy-trading workflows.
Data Engineer
Build and maintain scalable data ingestion pipelines and ETL/ELT processes for a cardiac remote monitoring platform using Python, Spark, and AWS.
AI/ML Engineer
Build and deploy generative AI models using LLMs, RAG, and vector databases. Engineer AI agents with PyTorch/TensorFlow and Azure AI, and implement MLOps pipelines.
Senior DevOps - Data Platform Infrastructure
Build and maintain scalable data platforms using Snowflake and Databricks, owning infrastructure as code, cost efficiency, and operational reliability for Coveo’s data infrastructure.
Data Engineer: Fabric & Azure - Hybrid Rome
Builds end-to-end data pipelines using Microsoft Fabric and Azure, integrating sources via APIs and analytics endpoints.
Software Data Engineer (AWS)
Build and maintain cloud-native data pipelines on AWS, ingesting manufacturing data via Kafka and transforming it into a lakehouse for analytics and ML workloads.