Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design and optimize scalable cloud data pipelines and platforms using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and Microsoft Fabric.
Develop and implement robust data models and DataOps practices including CI/CD, automated testing, and performance tuning to support enterprise analytics and AI.
Collaborate directly with clients and cross-functional teams to gather requirements, provide technical guidance, and ensure reliable, secure, and cost-optimized data solutions.
Minimum Requirements
5-8 years of experience in Data Engineering with strong expertise in Azure cloud data platform technologies.
Proficient in SQL and Python for data pipeline development and performance optimization.
Bachelor's degree in Computer Science, IT, Data Engineering, or related fields.
Experience working directly with clients and business stakeholders in a technical and consultative capacity.
Ideal Candidate Profile
Experienced in enterprise-scale cloud data platforms with advanced skills in Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and preferably Microsoft Fabric.
Strong background in complex data modeling techniques like dimensional modeling, star/snowflake schemas, and Slowly Changing Dimensions (SCD).
Able to lead or mentor junior engineers and drive adoption of best practices in DataOps, CI/CD, and performance optimization for production data environments.