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Metro hiring and common data-engineer title increase competition, but Databricks/PySpark specialization narrows pool.
Medium — core data engineering skills transferable, but Azure Databricks platform specificity limits portability.
High — explicit years and mandatory Databricks, PySpark, and ADF experience required.
Design, develop, and deploy scalable data pipelines and modern data warehouse solutions using Azure services including Databricks, PySpark, SQL, and Data Factory.
Create technical specification and application interface designs to support data integrations and processing of structured and non-structured data.
Collaborate closely with BI, analytics, and business teams to meet increasing data volume and complexity demands.
Minimum 2 to 3 years project experience in Azure Databricks.
Minimum 2 to 3 years experience in Azure Data Factory (ADF).
Minimum 2+ years experience programming with PySpark.
Work Experience Required: At least 2 years in relevant Azure technologies and data engineering tools. Location flexibility across Mumbai, Pune, Noida, Bangalore.
Strong technical expertise specifically in Databricks, PySpark, Azure Data Lake, and Azure Data Factory within data engineering projects.
Experience designing and building scalable batch data processing and integration solutions for large and complex data sets.
Able to work cross-functionally with BI, analytics, and business stakeholders to translate requirements into technical specifications.