Jobs → Data & Analytics → Data & ML Engineer

About the Role We are seeking an experienced Data & ML Engineer to support the design, development, and implementation of scalable data pipelines and machine learning solutions within an Azure cloud environment. Key Responsibilities • Design, develop, and maintain scalable data ingestion, transformation, and ETL/ELT pipelines • Build and optimize Azure-based data platforms using Databricks, Data Lake, Synapse, and related technologies • Support deployment and operationalization of machine learning models through CI/CD and MLOps practices • Implement monitoring, logging, troubleshooting, and performance optimization for data and ML workloads • Collaborate with data scientists and engineering teams to translate requirements into production-ready solutions • Develop reusable, automated components following cloud engineering best practices Requirements • Proven hands-on experience as a Data Engineer, ML Engineer, or Cloud Platform Engineer • Strong experience with Microsoft Azure data engineering services • Proficiency in Python, SQL, and/or Scala • Experience developing and supporting production-grade data pipelines • Experience with Spark, Databricks, or comparable big data processing frameworks • Familiarity with CI/CD pipelines, DevOps, and MLOps practices • Ability to independently design, develop, troubleshoot, and deliver technical solutions • Strong communication skills and experience working with cross-functional teams