Azure Data Engineer: Build Scalable Data Platforms

Tiger Analytics; Chicago (IL); On-site; USD 110,000 - 160,000; Full time

Job summary

Tiger Analytics in Chicago is seeking an Azure Data Engineer to design and implement advanced analytics capabilities across data platforms using Azure stack and Spark SQL.

The role focuses on building scalable data ingestion pipelines with Azure Data Factory, optimizing storage with Gen1/Gen2, and transforming raw data into consumer-friendly formats while collaborating with analytics teams.

Qualifications

• Bachelor's degree in CS or similar field required.
• Strong Python scripting and SQL skills is essential.
• Experience with Azure Data Factory to build data pipelines at scale.
• Experience with Azure Databricks, Spark SQL and data lake/storage architectures.

Responsibilities

• Design and implement advanced analytics capabilities in a cloud data ecosystem.
• Develop and optimize data ingestion pipelines using Azure Data Factory.
• Build data platforms on Azure stack and Spark SQL for scalable analytics.
• Harmonize raw data into consumer-friendly formats for analytics use.

Skills

Python

SQL

Azure Data Factory

Azure Databricks

Spark SQL

Big data

Education

Bachelor's degree in Computer Science or similar field

Tools

Azure Stack

Gen1/Gen2 Storage

Snowflake

Job description

Tiger Analytics in Chicago is seeking an Azure Data Engineer to design and implement advanced analytics capabilities across data platforms using Azure stack and Spark SQL.

The role focuses on building scalable data ingestion pipelines with Azure Data Factory, optimizing storage with Gen1/Gen2, and transforming raw data into consumer-friendly formats while collaborating with analytics teams.