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Tier-1 employer, metro location, and mid-level generalist Azure data engineer role increases candidate competition.
Azure Databricks and domain-specific data engineering requirements moderately limit cross-industry transferability.
Mandatory 6+ years and specific Azure Databricks, Python, and SQL skills make shortlisting highly strict.
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Design, develop, and manage scalable, secure data pipelines using Azure Databricks and Azure Data Factory on the Azure cloud platform.
Write efficient, reusable Python code for cloud automation, data processing, and orchestration and troubleshoot data flow and ETL performance bottlenecks.
Architect cloud-based data solutions integrating diverse data sources, develop data models, and support BI use cases within the Azure ecosystem.
6+ years overall experience in cloud or data engineering roles with at least 2-3 years hands-on experience in Azure cloud services and Python development.
Strong skills in Python programming (advanced scripting and cloud SDK), SQL, Azure Databricks, Azure Data Factory, Azure Blob/ Data Lake Storage, and Apache Spark.
Education: BE/B.Tech/MBA/MCA degree with MBA specified as required.
Experience with data modeling (normalization and denormalization), data warehousing, BI tools integration, and version control systems like Git.
Experienced data engineer with demonstrated hands-on expertise in Azure cloud technologies and Python programming for scalable ETL pipeline development.
Capable of architecting and deploying enterprise-level cloud data solutions integrating structured and unstructured datasets.
Practitioner familiar with advanced data modeling techniques, cloud-native data orchestration, and continuous improvement of data workflows in line with evolving cloud technologies.