Highbrow Technology Inc is seeking a Senior Azure Data Engineer with expertise in Snowflake. The role involves designing and implementing data solutions using Azure technologies and ensuring the performance of data pipelines.
Responsibilities:
- Strong experience with Azure Databricks, including notebooks, clusters, and Delta Lake, Snowflake
- Hands-on expertise in Azure Data Factory (ADF) and pipeline orchestration
- Proficiency in Python (PySpark, Pandas, NumPy) and SQL
- Experience with Spark SQL, performance tuning, and distributed data processing
- Solid understanding of Azure ecosystem: ADLS, Synapse Analytics, Azure Functions, Event Grid, Key Vault, Purview
- Experience designing and implementing data lake/lakehouse architectures
- Knowledge of dimensional data modeling and analytics solutions
- Familiarity with DevOps and CI/CD automation in data platforms
- Proven experience delivering production-grade, scalable data solutions
- Strong alignment with senior-level Azure data engineering roles
Requirements:
- Strong experience with Azure Databricks, including notebooks, clusters, and Delta Lake, Snowflake
- Hands-on expertise in Azure Data Factory (ADF) and pipeline orchestration
- Proficiency in Python (PySpark, Pandas, NumPy) and SQL
- Experience with Spark SQL, performance tuning, and distributed data processing
- Solid understanding of Azure ecosystem: ADLS, Synapse Analytics, Azure Functions, Event Grid, Key Vault, Purview
- Experience designing and implementing data lake/lakehouse architectures
- Knowledge of dimensional data modeling and analytics solutions
- Familiarity with DevOps and CI/CD automation in data platforms
- Proven experience delivering production-grade, scalable data solutions
- Strong alignment with senior-level Azure data engineering roles
- Experience with Microsoft Fabric
- Proven track record of improving pipeline performance (e.g., 30–40% optimization)
- Exposure to hybrid cloud environments
- Prior experience working with large enterprise clients