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Metro location and manager title increase visibility, balanced by niche Azure/Databricks/PySpark requirements.
Core data platform skills are transferable across industries, though BFSI domain knowledge is preferred.
Specific mandatory skills in Azure, Databricks and PySpark create moderate filtering of candidates.
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Own development and delivery of modern data platforms including data engineering, enterprise data warehouse (EDW), and data lake solutions.
Manage Azure cloud platform components related to data and analytics such as Azure Data Lake, Azure Data Factory, Databricks, and Delta Lake.
Maintain a robust data catalogue and design batch data pipelines to accelerate business analysis.
Minimum 2 years experience in developing complex Pyspark jobs and SQL queries/procedures/views/functions.
Experience with Microsoft Azure cloud platform, specifically Azure Data Lake, Azure Data Factory, Databricks, and Delta Lake.
Experience in large-scale enterprise data warehouse and data lake solutions development.
Work Experience Required: At least 2 years as per experience with Pyspark and Azure components.
Proven ability to independently design and develop batch data pipelines to support business analytics.
Experience working in BFSI domain is advantageous but not mandatory.
Skills in big data frameworks (especially Databricks) and proficiency with code versioning tools suggest effectiveness in agile, scalable data environments.