Azure Data Engineer
Core
Design and develop scalable, reliable data pipelines on Azure to collect, process, and store large datasets for business requirements.
Role type
Senior Azure Data Engineer
Builds
Production data pipelines, data warehousing solutions, and data models
Domain
Cloud data engineering on Microsoft Azure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse Analytics, ETL/ELT, Data Modeling, DevOps, Spark, Scala, Java, Power BI
Preferred skills
Azure AI & Machine Learning services, Terraform, ARM templates, DataOps, automation tools
Technologies
Azure Data Factory, Azure Databricks, Azure Data Lake, Synapse Analytics, PySpark, Scala, Java, SQL, T-SQL, Azure Blob Storage, Cosmos DB, Azure SQL Database, SQL Server, Azure DevOps, Git, Power BI, Azure Monitor, Log Analytics
Responsibilities
Develop, test, and deploy scalable data pipelines for ingestion, transformation, and storage; Optimize ETL processes for performance, scalability, and cost-efficiency; Monitor data pipeline health and troubleshoot issues proactively; Implement data security, privacy, and governance measures; Automate deployment workflows and manage infrastructure as code on Azure; Document data architecture, workflows, and standards
Seniority
Senior, hands-on IC
