Description

Job Description:

Total experience- 10+ years Managerial Experience- 2+ years Python, Azure, Databricks hands-on technical experience- 4+ years Required Skills Strong experience with Databricks, PySpark, Python, and Spark Expertise in Azure Data Services including ADF, ADLS, and Synapse Proven experience in delivery management, stakeholder management, and Agile execution 

Roles & Responsibilities Own end-to-end delivery of data engineering programs ensuring alignment with business goals, timelines, and quality standards Drive execution across multiple data initiatives within Azure and Databricks environments Provide technical leadership in designing and implementing scalable data pipelines using Python, PySpark, and Spark Collaborate with business stakeholders, data engineers, and architects to translate requirements into efficient data solutions Ensure adoption of Agile practices including sprint planning, tracking, and continuous improvement Establish governance frameworks, proactively manage risks, and ensure adherence to data engineering best practices Communicate project progress, risks, and outcomes effectively to stakeholders Lead, mentor, and guide data engineering teams towards high performance and delivery excellence

Key Skills

Education

Any Graduate