Azure Data Engineer

We are looking for an experienced Azure Data Engineer with strong hands-on expertise in Azure Databricks, Azure Data Factory (ADF), Apache Airflow, Snowflake, SQL, and Python . The candidate should be capable of developing and maintaining scalable data pipelines and data engineering solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT workflows .
• Develop data processing solutions using Azure Databricks and PySpark/Python .
• Build and manage data pipelines using Azure Data Factory (ADF) .
• Develop and manage workflows and orchestration using Apache Airflow .
• Design and optimize data solutions using Snowflake .
• Write complex and optimized SQL queries for data transformation and analysis.
• Develop data engineering solutions using Python .
• Perform data integration, transformation, validation, and troubleshooting.
• Optimize pipeline and query performance.
• Collaborate with data architects, analysts, and other engineering teams to deliver reliable data solutions.

Mandatory Skills

• Hands-on experience with Azure Databricks
• Hands-on experience with Azure Data Factory (ADF)
• Hands-on experience with Apache Airflow
• Strong SQL skills
• Hands-on experience with Python
• Minimum 3 years of hands-on Snowflake experience - Mandatory

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.