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Azure/Databricks specialization, senior leadership title, and Pune metro location create moderate competition.
Medium—Azure Databricks skills transfer across industries, but financial services controls and domain knowledge add constraints.
High—requires specific Azure Data (ADF, Databricks) skills, pipeline performance tuning, and leadership experience.
Lead and provide technical guidance to a team of data engineers ensuring architectural alignment.
Design and implement data engineering pipelines and data transformations using Azure Data Factory (ADF) and Databricks.
Manage capacity planning and performance tuning for ADF and Databricks pipelines; collaborate with offshore development teams through project lifecycle activities.
Experience with Azure Data Factory (ADF) and Databricks for data engineering and pipeline development.
Proven ability to lead and guide a team of data engineers.
Work Experience Required: Not explicitly mentioned in the JD.
Not explicitly mentioned in the JD: educational qualifications, notice period, or specific certification requirements.
Experienced in working with offshore teams and cross-functional collaboration within software development lifecycles.
Operational focus on performance tuning and capacity planning for cloud-based data platforms.
Demonstrated skill in knowledge sharing and team development, especially in Azure Data technologies.