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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and optimize scalable cloud-based data pipelines and platforms using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and Microsoft Fabric (preferred).
Build and maintain high-performance SQL and Python solutions with a focus on scalability, maintainability, and cost optimization.
Collaborate directly with clients and stakeholders to gather requirements, deliver secure scalable data solutions, troubleshoot production issues, and mentor junior engineers.
Minimum Requirements
5–8 years of professional experience in Data Engineering with enterprise cloud data platforms.
Proficient hands-on skills in SQL, Python, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and data modelling (including dimensional modelling and Slowly Changing Dimensions).
Bachelor's degree in Computer Science, IT, Data Engineering, or related field.
Experience working directly with clients in a technical capacity delivering solutions.
Ideal Candidate Profile
Strong experience operating in client-facing roles with ability to lead technical discussions and translate business requirements into data engineering solutions.
Proven track record in building large-scale, cloud-native data platforms within Microsoft Azure ecosystem and implementing DataOps/CI-CD pipelines.
Demonstrated expertise in data modelling, performance tuning, and cost optimization for high-volume cloud data workloads, with exposure to advanced Azure services like Microsoft Fabric.