implement data engineering activities on mission-driven projects
deploy and develop pipelines and platforms that organize and make disparate data meaningful
work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers
manage the assessment, design, building, and maintenance of scalable platforms for clients
use data for good

3+ years of experience building scalable ETL or ELT pipelines for reporting and analytics using Azure Synapse Analytics or Azure Data Factory and Azure Databricks
3+ years of experience with direct development using Azure services such as Azure Synapse Analytics, Azure Data Factory, Logic Apps, Azure Key Vault, ADLS Gen2, or Azure Databricks
Experience building and maintaining resilient ingestion pipelines from multiple sources such as REST APIs, Databases, event streams, and SaaS platforms, including Genesys and SalesForce
Experience with data modeling
Experience designing and implementing scalable Lakehouse architectures in Synapse and Azure Databricks following medallion architecture patterns
Experience mentoring junior engineers and contribute to data engineering standards and best practices
Knowledge of monitoring and alerting tools such as Azure Monitor or Dynatrace

Azure Data Engineer

Key skills