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Tier-1 brand, metro location, popular mid-level data engineer title, and broad Azure/Databricks requirements increase competition.
Core data engineering skills are broadly transferable across industries with moderate domain specificity.
Explicit 6+ years plus mandatory Python, SQL, Databricks and Azure skills.
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Design, develop, and manage scalable, secure data pipelines using Azure Databricks and Azure Data Factory.
Write efficient Python code for cloud automation, data processing, and orchestration within the Azure ecosystem.
Architect and optimize cloud-based data solutions integrating structured and unstructured data, supporting ETL workflows, data warehousing, and BI use cases.
6+ years overall experience in cloud or data engineering roles with 2-3+ years hands-on Azure cloud experience.
Strong Python programming skills including advanced scripting, automation, and cloud SDK use.
Strong SQL skills and hands-on experience with Azure Databricks, Azure Data Factory, Azure Blob Storage/Data Lake, and Apache Spark.
Education: BE/B.Tech/MBA/MCA; Proven experience with data modeling, ETL pipeline development, and version control using Git.
Experienced in architecting and deploying enterprise-level data warehousing solutions on Azure cloud platform.
Proficient in building and optimizing scalable ETL pipelines and managing cloud data storage solutions with performance troubleshooting.
Familiar with integration of advanced analytics and BI tools in Azure environment, with a strong coding discipline and version control practice.