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Tier-1 employer, metro location, mid-level Azure/Databricks data engineer role attracts high competition.
Specialized Azure Databricks and data engineering skills are transferable but maintain strong domain specificity.
Mandatory 6+ years and required Azure Databricks, Python and SQL skills create strict shortlisting filters.
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Design, develop, and manage scalable and secure data pipelines on Azure using Databricks, Data Factory, and Python.
Build and optimize ETL workflows, data models, and cloud data warehousing solutions supporting BI and analytics use cases.
Lead code reviews, ensure version control adherence (Git), and troubleshoot data processing performance issues.
6+ years of overall experience in cloud or data engineering roles, including 2-3 years hands-on with Azure cloud services and Python development.
Strong skills in Python programming, advanced SQL, Azure Databricks, Azure Data Factory, and Azure storage solutions like Data Lake and Blob Storage.
Experience with data modeling (normalization/denormalization), ETL pipeline development, and version control using Git.
Educational Qualification: BE/B.Tech/MBA/MCA; Preferred: Master of Business Administration.
Experienced in architecting and implementing enterprise-level cloud data solutions, particularly on Azure platform.
Strong operational focus on scalable, secure data pipeline development and automation using Python and Azure native tools.
Proven ability to optimize ETL workflows and integrate advanced analytics within modern data ecosystems.