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Tier-1 brand, metro location and generalist mid-level data engineer role drive high competition.
Azure Databricks and consulting-focused data engineering increase domain specificity, but skills remain moderately transferable.
Explicit 6+ years plus mandatory Azure, Databricks, Python and SQL make shortlisting highly strict.
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Design, develop, and manage scalable, secure data pipelines and ETL workflows using Azure Databricks, Azure Data Factory, and Python.
Architect and implement cloud-based data solutions integrating structured and unstructured data sources on Azure, including Data Lake and Blob Storage.
Lead code reviews, troubleshoot performance issues, and contribute to enterprise data warehousing and BI integration within the Azure ecosystem.
6+ years overall experience in cloud or data engineering roles with 2-3 years hands-on experience in Azure cloud services.
Strong Python programming skills with advanced scripting and automation (Must-Have).
Proficient in SQL, Azure Databricks, Azure Data Factory, Azure Blob Storage/Data Lake Storage, Apache Spark, and data modeling techniques (Normalization & Denormalization).
Bachelor’s degree (BE/B.Tech/MBA/MCA) required; Master of Business Administration specified as degree/field; no mention of notice period.
Experienced professional with demonstrated ability to build and optimize scalable ETL pipelines and cloud data solutions specifically on Azure.
Skilled in advanced Python development applied to cloud automation and data orchestration, with strong version control familiarity (e.g., Git).
Proficient in designing data models and integrating BI tools within cloud-native Azure services.