Azure Data Engineer

Job Title: Azure Data Engineer
Location: Texas (Hybrid)

Job Summary:

• We are seeking an experienced Azure Data Engineer with 12 years of expertise in designing developing and maintaining cloud-based data engineering solutions on Microsoft Azure.
• The ideal candidate will have strong hands-on experience with Azure data services big data technologies modern data warehousing platforms and CI/CD practices.
• Experience within the airline industry is mandatory for this role.

Key Responsibilities:

• Design develop and maintain scalable cloud-based data pipelines on Microsoft Azure.
• Build and optimize data lake and data warehouse solutions using Azure technologies.
• Develop and manage ETL/ELT processes using Azure Data Factory (ADF) and Databricks.
• Implement data transformation and processing solutions using PySpark and Python.
• Design and optimize Snowflake-based data warehousing solutions.
• Develop and maintain DBT models for analytics and reporting workloads.
• Collaborate with business and technical teams to gather and translate data requirements.
• Implement CI/CD pipelines and DevOps best practices for data engineering projects.
• Manage Azure Data Lake and Blob Storage environments.
• Monitor troubleshoot and optimize data pipeline performance and reliability.
• Ensure data quality governance security and compliance standards are met.
• Support enterprise-scale data integration and modernization initiatives.

Required Skills:

• Azure Data Factory (ADF)
• Azure Databricks
• PySpark
• Python
• SQL
• DBT (Data Build Tool)
• Snowflake
• Azure Data Lake
• Azure Blob Storage
• Azure DevOps
• Data Pipeline Development
• Cloud Data Engineering
• Data Warehousing Concepts
• CI/CD Implementation
• DevOps Practices
• ETL/ELT Development
• Big Data Processing

Preferred Qualifications:

• Azure Certifications preferred.
• Spark Certification preferred.
• Experience implementing enterprise-scale Azure data platforms.
• Strong understanding of modern data architecture and cloud migration strategies.
• Experience with advanced performance tuning and optimization techniques.
• Exposure to large-scale analytics and reporting environments.

Best Regards:

Monika G
Phone: 1-
Email: