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 robust 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 Databrick s and PySpar k
.Build and optimize data infrastructure for extracting, transforming, and loading large-scale datasets
.Develop data solutions using SQ L 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 Securit y, DevOp s, and cloud-based data platforms
.Exposure to AW S is an asset
.Strong understanding of Spark, ETL processes, and contemporary data engineering practices
.Excellent analytical, problem-solving, and communication skills
.Ability to work collaboratively with cross-functional teams in an Agile workplace