Jobs → Data & Analytics → Data Engineer

About the Role We are looking for a Data Engineer with strong Azure data engineering and machine learning enablement experience to build scalable, cloud-native data platforms. The ideal candidate will have expertise in Azure data services, large-scale data processing, medallion architecture, and preparing high-quality datasets for machine learning models. Key Responsibilities • Design, develop, and optimize ETL/ELT pipelines using Azure Data Factory, Azure Databricks, Azure Functions, and Synapse Analytics • Integrate external retailer and third-party datasets into Bronze, Silver, and Gold medallion architecture layers • Profile datasets, resolve data quality issues, and manage missing, duplicate, or unmatched records • Implement dimensional modeling, master data alignment, and reliable join strategies • Execute large-scale, multi-terabyte data migrations with minimal downtime • Transform complex semi-structured data, including XML, into analysis-ready formats • Establish data governance, validation, quality controls, and feature-ready data models • Collaborate with Data Science and ML teams to productionize machine learning models • Maintain code quality, version control, documentation, and code reviews using GitHub Requirements • 7+ years of experience in data engineering, platform development, or data architecture • Strong hands-on experience with Azure Data Factory, Azure Databricks, Azure Functions, and Synapse Analytics • Expertise in Python, SQL, PySpark, or pandas • Experience with medallion architecture, dimensional modeling, and master data integration • Strong understanding of data governance, data quality, ETL/ELT pipelines, and large-scale data processing