Machine Learning Engineer

Job Summary We are seeking an experienced ML Engineer to build and optimize scalable data pipelines and machine learning solutions on Azure. The ideal candidate will have strong expertise in Azure Data Factory, Azure Databricks, Azure Machine Learning, PySpark, SQL, and Python, with experience developing cloud-based data engineering solutions. Key Responsibilitie sDesign and maintain scalable data pipelines using Azure Data Factory (ADF) .Develop ETL/ELT workflows using Azure Databricks and PySpark .Build and optimize data infrastructure for extracting, transforming, and loading large-scale datasets .Develop data solutions using SQL and Azure big data technologies .Collaborate with Product, Data Science, Design, and business teams to support data-driven initiatives .Build data tools and pipelines to enable analytics and machine learning workloads .Monitor, optimize, and enhance data platform performance and reliability .Required Skills & Experienc eStrong hands-on experience with :Azure Data Factory (ADF )Azure Databrick sAzure Machine Learnin gPySpar kPytho nSQ LExperience with Azure Security, DevOps, and cloud-based data platforms .Exposure to AWS is an asset .Strong understanding of Spark, ETL processes, and modern data engineering practices .Excellent analytical, problem-solving, and communication skills .Ability to work collaboratively with cross-functional teams in an Agile environment .

Design and maintain scalable data pipelines and ETL workflows using Azure Data Factory and Databricks. Collaborate with cross-functional teams to build data tools and optimize platform performance for machine learning workloads.

Requires strong hands-on experience with the Azure data stack, PySpark, Python, and SQL. Candidates should have a deep understanding of modern data engineering practices and experience working in an Agile environment.

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Azure Data Factory
• Azure Databricks
• Azure Machine Learning
• PySpark
• Python
• SQL
• ETL/ELT
• Azure Security
• Azure DevOps
• Spark
• Cloud Data Engineering
• Agile

Expérience minimale

5+ ans

Postuler avant le

26 août 2026