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Mid-level, popular Azure data engineering role with broad requirements in a Pune metro increases applicant competition.
Azure-specific data engineering skills make cross-industry transfers moderately constrained.
Explicit 5+ years and mandatory Azure/Data engineering tech requirements impose strict shortlisting filters.
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Design, develop, and deploy scalable, reliable data pipelines on Azure for ingestion, transformation, and storage of large datasets.
Optimize data pipeline performance, cost-efficiency, security, and monitor operational health proactively.
Collaborate with cross-functional teams including data scientists and analysts to integrate data workflows and document architecture, workflows, and standards.
5+ years of experience in data engineering, data architecture, or related roles with proven experience in Azure data services.
Proficiency in SQL and Python; hands-on experience with Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics.
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
Relevant Azure certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) preferred.
Experienced in working with large-scale enterprise cloud data solutions using Azure services and big data processing frameworks.
Capable of automating deployment workflows and managing infrastructure as code on Azure using DevOps and CI/CD practices.
Strong operational focus on data pipeline reliability, security, monitoring, and data governance compliance in a cross-functional collaborative environment.