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Tier-1 employer, mid-level Azure data role in metros increases applicant competition.
Azure-specific data engineering skills are transferable but require cloud experience, giving moderate portability.
Explicit 6–8 years plus mandatory Azure Data Stack and data engineering skills.
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Oversee project selection, prioritization, and resource allocation to drive strategic business outcomes within Internal Firm Services.
Coordinate project delivery within budget and timeline constraints using Agile methodology and Kanban.
Manage IT project lifecycles and build relationships with internal stakeholders to ensure successful execution and alignment with project objectives.
Any Graduate degree.
6–8 years of experience in data engineering, analytics, and cloud-based data solutions.
Strong hands-on expertise in Azure Data Stack including Azure Data Factory, Azure Data Lake, Azure Databricks, and ETL pipeline development.
Oral and written proficiency in English required.
Experienced in managing complex data engineering and analytics projects using Azure cloud technologies and Agile methodologies.
Capable of building comprehensive business cases and managing IT project lifecycles with attention to budgeting and resource optimization.
Skilled in stakeholder management and leading Project Management Office (PMO) initiatives within cross-functional teams.