Azure Data Engineer - Build Scalable Cloud Pipelines

Akaasa Technologies; United States; On-site; USD 110,000 - 150,000; Full time

Job summary

Akaasa Technologies is hiring an Azure Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. You will work with large datasets, build reliable ETL/ELT processes, and support data integration across Azure platforms.

The ideal candidate has hands-on experience with Azure Data Factory, Databricks, ADLS Gen2, and Synapse, plus Python, SQL, and PySpark for processing and transformation.

Qualifications

• Strong hands-on experience with ETL/ELT design and implementation.
• Experience using PySpark, SQL and Python for data processing and transformations.
• Knowledge of Azure data services such as ADF, Databricks, ADLS Gen2 and Synapse.

Responsibilities

• Design, develop, and maintain scalable data pipelines in Azure.
• Build reliable ETL/ELT processes and ensure data quality and governance.
• Collaborate with teams to integrate data across Azure platforms.

Skills

PySpark

SQL

Python

ETL/ELT

Tools

Azure Data Factory

Azure Databricks

Azure Data Lake Storage Gen2

Azure Synapse Analytics

Job description

Akaasa Technologies is hiring an Azure Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. You will work with large datasets, build reliable ETL/ELT processes, and support data integration across Azure platforms.

The ideal candidate has hands-on experience with Azure Data Factory, Databricks, ADLS Gen2, and Synapse, plus Python, SQL, and PySpark for processing and transformation.