Jobs → Data & Analytics → Data & ML Engineer

About the Role We are looking for an experienced Data & ML Engineer to join our team. This role requires strong hands-on expertise in Microsoft Azure, data engineering, and machine learning operations. Key Responsibilities • Design and implement data solutions using Microsoft Azure services • Develop and maintain ETL/ELT pipelines for data engineering • Build and deploy machine learning models using MLOps practices • Optimize production data pipelines for performance • Utilize Azure Databricks, Data Factory, and Synapse Analytics Requirements • Strong expertise in Microsoft Azure Data Services • Experience with Azure Databricks, Azure Data Factory & Synapse Analytics • Proficiency in Python, SQL, and Scala • Knowledge of Apache Spark / PySpark • Experience with ETL/ELT Pipelines & Data Engineering • Familiarity with CI/CD, DevOps & MLOps practices • Understanding of MLflow, Docker, and Kubernetes/AKS • Experience with Azure Data Lake & Delta Lake • Ability to optimize production data pipelines