Role Principal Data Engineer Location Delhi Mode Hybrid Type Contract We are seeking a Principal Data Engineer with strong enterprise-level data architecture and engineering experience specifically within the logistics and manufacturing domains This role is heavily focused on architecting and developing scalable data solutions using the Azure ecosystem including Databricks ADF Synapse and PySpark Key Responsibilities 90 focus on data architecture and hands-on development 10 involvement in stakeholder collaboration Design and build scalable data pipelines and models in Azure Implement best practices in data engineering and architecture Required Skills Solid experience in Azure Data Engineering ADF Databricks Synapse Proficient in PySpark Python and SQL Solid understanding of data modeling conceptual logical physical Experience with tools like Erwin Toad and Snowflake is a plus Domain expertise in logistics supply chain or HR domain Job Type Permanent Pay 3 000 000 00 - 4 000 000 00 per year Experience Databricks 4 years Required Total 10 years Required ADF 3 years Required Pyspark 2 years Required Python 2 years Required Data Modelling 3 years Required Snowflake tools 3 years Required HR domain 2 years Required Work Location In person

📌 Principal Data Engineer (New Delhi)
🏢 ixceed
📍 New Delhi