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Mid-level generalist Azure data role in metro location yields moderate applicant competition.
Azure-centric data engineering skills are transferable across industries but require specific cloud platform expertise.
Explicit 6-8 year requirement plus mandatory Azure, Databricks, Synapse and strong SQL increases filter rigidity.
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Design, develop, and maintain scalable cloud-based data platforms using Microsoft Azure services.
Build robust batch data pipelines and optimize data processing for analytics-ready datasets.
Collaborate with architects, analytics teams, QA, DevOps, and business stakeholders across a global delivery environment.
6+ years of professional experience in data engineering.
Hands-on expertise in Microsoft Azure data services, including at least two of: Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse Analytics.
Strong proficiency in SQL with experience in complex query writing and performance tuning.
Location requirement: Bangalore, India.
Experienced individual contributor comfortable with end-to-end design and development of cloud-native data lakes and analytical platforms.
Demonstrates deep technical expertise in Azure ecosystem and large-scale data processing.
Capable of optimizing query performance and managing large datasets within Azure Synapse and Databricks environments.