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Strong employer brand, popular data-engineer role, metro location, and broad Azure/Databricks skill requirements.
Skills are transferable across industries but require Azure/Databricks cloud data experience.
Explicit 6+ years requirement plus mandatory Python, SQL, Databricks and Azure skills.
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Design, develop, and manage scalable data pipelines using Azure Databricks and Azure Data Factory.
Write advanced Python code for cloud automation, data processing, and orchestration within Azure cloud environment.
Architect and integrate cloud-based data solutions, including data modeling and enterprise data warehousing on Azure.
6+ years overall experience in cloud or data engineering roles with 2-3 years hands-on Azure cloud services experience.
Strong proficiency in Python programming, SQL, Azure Databricks, and Apache Spark (hands-on).
Experience with Azure Data Factory, Azure Data Lake/Blob Storage, data modeling, and version control (Git).
Education: BE/B.Tech/MBA/MCA (Master of Business Administration explicitly required).
Demonstrated ability to build and optimize scalable Azure cloud data solutions and ETL pipelines.
Experienced in integrating complex structured and unstructured data sources within Azure ecosystem.
Skilled in advanced Python development and adopting best practices in cloud-native data engineering tools and workflows.