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Tier-1 brand, mid-level data engineer in Bangalore with common Azure stack creates high applicant competition.
Azure-centric data engineering skills are moderately transferable across industries, so background fit sensitivity is medium.
Explicit 4–6 years plus mandatory Azure Databricks, ADF, Delta Lake, SQL and Python increases shortlisting strictness.
Design, develop, and maintain data engineering solutions using Azure Databricks, Azure Data Factory (ADF), and Azure Data Lake technologies.
Create and manage ETL pipelines, including copy activity and custom Azure development, to enable data processing and integration.
Translate business requirements into functional specifications for reporting applications, supporting Azure Synapse Analytics and data warehousing.
4-6 years of professional experience in data engineering or relevant field.
Proficient hands-on experience with Azure Databricks, Azure Data Factory, Delta Lake, Azure Data Lake, SQL Data Warehouse, SQL, and Python.
Experience with semi-structured data, streaming data, Azure Synapse Analytics, and Cosmos DB.
Knowledge of Power BI is beneficial; certification in Azure is a plus but not mandatory.
Experienced in creating scalable ETL pipelines and working extensively with Azure cloud data services.
Technically strong in both development and analytics side, capable of handling semi-structured and streaming data pipelines.
Comfortable translating business needs into technical data engineering solutions supporting business intelligence.