Azure Data Engineer: ETL, Data Lake & Databricks

Ethereum Technologies; Atlanta (GA); On-site; USD 90,000 - 130,000; Full time

Job summary

Ethereum Technologies is seeking an experienced Azure Data Engineer to design and maintain enterprise data pipelines supporting BI and analytics initiatives in a cloud environment.

You will work with Azure Data Factory, Databricks, and Data Lake to optimize data workflows and ensure data quality across large datasets. Strong Python and SQL skills are required to implement robust data models and pipelines.

Qualifications

• Strong experience with ETL/ELT design and data warehousing concepts.
• Proficient in Python and SQL for data processing.
• Knowledge of cloud data architectures and best practices.

Responsibilities

• Design and develop ETL/ELT data pipelines.
• Build data integration solutions using Azure Data Factory.
• Work with Azure Databricks and Azure Data Lake.
• Optimize data processing workflows and SQL queries.
• Implement data quality and validation processes.
• Collaborate with analytics and BI teams.

Skills

Python

SQL

ETL & data warehousing

Cloud data architecture

Tools

Azure Data Factory

Azure Databricks

PySpark

Azure Data Lake Storage

Job description

Ethereum Technologies is seeking an experienced Azure Data Engineer to design and maintain enterprise data pipelines supporting BI and analytics initiatives in a cloud environment.

You will work with Azure Data Factory, Databricks, and Data Lake to optimize data workflows and ensure data quality across large datasets. Strong Python and SQL skills are required to implement robust data models and pipelines.