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Strong employer brand, metro location, and a visible mid-level data engineering role increase competition.
Azure Databricks and data engineering skills are transferable across industries, so moderate sensitivity.
Explicit 6+ years requirement plus must-have Databricks, Python, SQL and Azure skills indicates high strictness.
Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory.
Write clean, efficient Python code for cloud automation, data processing, and orchestration within Azure cloud platform.
Architect and implement cloud-based data solutions integrating multiple data sources and support enterprise-level data warehousing and BI use cases.
6+ years of overall experience in cloud or data engineering roles with 2-3 years hands-on Azure cloud service experience.
Strong Python programming skills with 2-3 years of hands-on experience mandatory.
Proficiency in SQL, Azure Databricks, Azure Data Factory, Azure Blob Storage / Azure Data Lake Storage, and Apache Spark required.
Bachelor's degree (BE/B.Tech/MBA/MCA) required; MBA specified but not strictly as mandatory.
Experienced in building and optimizing ETL workflows and scalable data pipelines within Azure ecosystem.
Demonstrates strong coding discipline including code reviews and version control using Git.
Familiar with data modeling for both OLTP and OLAP systems and integrating data warehousing with BI tools.