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Mid-level Databricks/PySpark metro role with broad skillset drives high candidate competition.
Azure Databricks and PySpark focus requires moderate industry-specific cloud platform experience.
Multiple explicit years and mandatory Databricks, PySpark, ADF requirements enforce strict shortlisting.
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Design, develop, and deploy scalable data pipelines using Azure services including Databricks, PySpark, SQL, and Data Factory.
Create technical specification designs and application interface designs for data integrations and Modern Data Warehouse solutions on Azure Stack.
Process structured and non-structured data through batch processing and integration solutions, collaborating with BI, analytics, and business teams.
Minimum 2 to 3 years of project experience with Azure Databricks.
Minimum 2 to 3 years of experience with Azure Data Factory (ADF).
Minimum 2+ years of experience in PySpark.
Location requirement: Mumbai, Pune, Noida, Bangalore.
Experienced in end-to-end development of cloud-based data engineering solutions using Azure services and PySpark.
Capable of translating business needs into technical designs, indicating strong technical and communication skills.
Proficient in handling data complexity and volume, showing a hands-on operating style in Azure Modern Data Warehouse environments.