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Strong brand, metro location, mid-level generalist data role, and 3-6 years range amplify competition.
Azure-centric data engineering stack makes skills somewhat transferable but biased toward cloud/Azure backgrounds.
Explicit 4-6 years plus many mandatory Azure Databricks/ADF/Delta Lake skills increase shortlisting strictness.
Own end-to-end data engineering processes using Azure cloud technologies including Databricks, Data Factory, and Data Lake.
Develop and manage ETL pipelines and data warehouses to support business reporting and analytics.
Translate business requirements into functional specifications for data reporting applications.
4-6 years of relevant professional experience in data engineering or related field.
Hands-on experience with Azure Databricks, Azure Data Factory, Delta Lake, Azure Synapse Analytics, Data Lake, and Data Warehouse.
Proficient in SQL, Python, Cosmos DB, and ETL pipeline creation using Azure Data Factory.
Work Experience Required: 4-6 years in relevant roles.
Experienced working with Azure cloud data ecosystem focusing on Databricks and Data Factory tools.
Skilled in handling semi-structured and streaming data within enterprise environments.
Technically strong in SQL and Python programming for data engineering tasks, with an understanding of Power BI as a benefit.