Azure Data Engineer

Role & responsibilities

Strong hands-on experience with Azure Data Platform components, including:

• Azure Data Factory (ADF) pipelines, triggers, linked services, data flows
• Azure Databricks – PySpark, Delta Lake, notebooks
• Azure Synapse Analytics – data warehouse design and optimization
• Azure Data Lake Storage (ADLS) – hierarchy, partitions, and access control
• Azure SQL Database / Managed Instance
• Excellent proficiency in Python, PySpark, and SQL for data transformations.
• Experience with data ingestion (batch and streaming) from multiple sources.
• Exposure to DevOps practices, CI/CD, and Infrastructure-as-Code (Terraform / ARM templates).
• Knowledge of Azure Security, IAM, and networking fundamentals.
• Experience in data lakehouse design, ETL/ELT pipelines, and data modeling.
• Understanding of cost optimization, monitoring, and logging in Azure (Monitor, Log Analytics).
• Familiarity with containerization (Docker, Kubernetes, AKS) preferred.