IN_Manager_Azure Data Engineer_OC-Data & Analytics_Advisory_Bhubaneswar
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Protocol Intelligence
Data-driven signals on your job's competitivenessNiche Azure Databricks manager role, senior requirement and non-metro location reduce applicant competition.
Azure-focused data engineering skills transfer readily across industries despite advisory context.
Explicit 8-15 years and mandatory Azure Databricks, ADF, PySpark skills create strict technical filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design and implement end-to-end data pipelines using Azure Data Factory, Azure Databricks, and Microsoft Fabric.
Develop scalable ETL/ELT processes with PySpark and manage data integration from on-premise and cloud sources.
Optimize data workflows for performance, reliability, and implement governance and compliance best practices in Agile/Scrum settings.
Minimum Requirements
8 to 15 years of work experience in data engineering.
Proficiency in Azure Data Factory, Azure Databricks, Microsoft Fabric, PySpark, Spark SQL, SQL, Python, and data modeling.
Bachelor of Engineering or MBA degree (Graduate Engineer or Management Graduate).
Experience with Delta Lake, Lakehouse architecture, and data lakes is mandatory.
Ideal Candidate Profile
Experienced in managing and optimizing large-scale Azure cloud data infrastructure and pipelines.
Familiar with data governance, security, and compliance within enterprise environments.
Proficient in Agile methodologies and collaborative stakeholder engagement for data-driven projects.