Lead Data Engineer

Role Overview


Requirements

• 6 - 10 years of relevant experience in Azure Data Engineering.
• Minimum 2 years of experience working with Adobe Analytics.
• Strong Agentic AI Experience in Databricks and expertise in DBT framework for data transformation and processing.
• Proficiency in Python for data engineering and automation tasks.
• 6-10 years strong hands-on experience with SQL for querying and data manipulation.
• Linux scripting experience for data ingestion and manipulation.
• Strong experience in data architecture, data modeling, data quality and governance, and working knowledge on data warehouses such as Snowflake, for data processing and operationalization.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills to collaborate with technical and non-technical teams who can efficiently work in onsite-offshore model.
• Collaborates with other cloud teams for deployment on Azure or GCP.
• Knowledge of CI/CD, DevOps, and Infrastructure as Code (IaC) practices is an advantage.
• Experience working with Azure Data Factory (ADF), Azure Data Lake, and PowerBI is a plus.
• Prior experience in e-commerce domain is a plus.

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