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Strong PwC brand, mid-level generalist data engineer with Azure skills in Mumbai increases candidate competition.
Azure Databricks and consulting context require specific cloud and advisory experience, moderately limiting cross-industry fit.
Explicit 4–8 years requirement plus mandatory Azure Databricks, ADF, Python and SQL make shortlisting strict.
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Gather and analyze requirements to design and implement data pipelines using Azure Data Factory, Databricks, and Synapse.
Create and manage Azure SQL Data Warehouses and Azure Cosmos DB; implement ETL processes to integrate various data sources into Azure Data Lake Storage.
Monitor, troubleshoot, and optimize data engineering workflows ensuring data security, governance, and performance efficiency.
4–8 years of experience in Data Engineering or related roles.
Hands-on experience with Azure Databricks, Azure Data Factory, or Synapse Analytics.
Proficiency in Python scripting and strong SQL skills including complex queries and performance tuning.
Education: Bachelor of Engineering or Master of Business Administration or Master of Computer Applications.
Experienced in building scalable data pipelines in Azure cloud environments using Databricks, Delta Lake, and ADF.
Familiarity with data warehouse concepts (dimensional modeling, star/snowflake schemas) and CI/CD practices in data engineering.
Ability to troubleshoot, optimize data workflows and communicate effectively within advisory or client-focused settings.