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Job Description
Structured overview of role & requirementsAbout This Role
Translate business requirements into Azure Cloud-based big data solutions including complex data pipelines, data warehouses, and data lakes.
Build and optimize ETL/ELT pipelines and streaming data ingestion using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and streaming technologies like Event Hubs/Kafka.
Lead delivery of enterprise-scale data transformation/modernisation programs ensuring data platforms meet business and strategic needs.
Minimum Requirements
8+ years of IT experience with at least 6 years in Azure Data Engineering implementation/delivery.
Proficiency in Python, SQL, SparkSQL, PySpark and expert-level skills in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Databricks, and Azure SQL.
Bachelor's or Master's degree in computer science, information systems, or related field, and/or equivalent work experience.
Azure Certifications related to design and development mandatory.
Ideal Candidate Profile
Experienced with end-to-end delivery of Azure data platforms including data lake to BI/ML consumption pipelines in enterprise or banking domain.
Skilled in building high volume, low latency data solutions using Lakehouse architecture with cost and performance optimization in Azure environment.
Comfortable working with streaming and batch architectures, Agile delivery, DevOps CI/CD pipelines, and implementing data governance and security best practices.