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Tier-1 brand plus mid-level data engineer role, metro location, and broad Azure/Python requirements increase competition.
Core data engineering skills (Azure, Python, Spark, SQL) are highly transferable across industries.
Mandatory 6+ years plus specific Azure Databricks, Python, SQL and Spark requirements create strict shortlisting filters.
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Design, develop, and manage scalable, secure data pipelines using Azure Databricks and Azure Data Factory.
Write clean, efficient Python code for cloud automation, data processing, and orchestration involving Azure cloud services.
Architect and implement cloud-based data solutions, integrating various data sources and optimizing ETL workflows.
6+ years of overall experience in cloud engineering or data engineering roles, with 2-3 years hands-on experience with Azure cloud services.
Strong Python programming skills with advanced scripting and cloud SDK experience (Must-Have).
Proficient in SQL and experienced with Azure Databricks (Must-Have).
Bachelor's degree in BE/B.Tech/MBA/MCA or equivalent (Master of Business Administration required).
Experienced in building and optimizing enterprise-level data warehousing and BI integrations within Azure ecosystems.
Demonstrates expertise in data modeling (normalization/denormalization) and ETL pipeline development using Azure-native tools.
Familiar with Git version control and agile delivery methodologies, with strategic focus on scalable Azure cloud solutions.