Mid-Senior Data Engineer (Azure)
Core
Building and maintaining robust data pipelines, event-driven architectures, and scalable ETL/ELT workflows on the Azure platform to support enterprise credit risk and financial operations.
Role type
Mid-Senior Data Engineer (Azure)
Builds
Data pipelines, event-driven architectures, and scalable ETL/ELT workflows
Domain
Financial services / Cloud data engineering
Deliverable
production ML models | infrastructure
Required skills
Azure Data Factory (ADF), Azure Data Lake, Delta Lake, Parquet, SQL, Azure Event Grid, Azure Event Hubs, Azure Functions, PostgreSQL, Spark
Preferred skills
Docker, Azure Kubernetes Service (AKS), cloud security best practices
Technologies
Azure Data Factory, Azure Data Lake, Delta Lake, Parquet, Azure Event Grid, Azure Event Hubs, Azure Functions, SQL, PostgreSQL, Spark, Docker, AKS
Responsibilities
Build and maintain robust data pipelines using Azure Data Factory; Work with Azure Data Lake, Delta Lake, and Parquet to store and process large-scale data; Maintain event-driven architectures with Azure Event Grid and Event Hubs; Implement scalable ETL/ELT workflows; Collaborate cross-functionally to integrate data flows; Monitor, optimize, and improve pipeline performance and data quality; Maintain documentation for data processes; Ensure best practices around data security, governance, and compliance.