Data Engineer Data Operations

Job Description

Responsibilities

• Build, manage, and optimize scalable data pipelines (ELT/ETL)
• Support Snowflake-based data warehouse and Databricks/Azure data environments
• Monitor and improve data pipeline performance, reliability, and cost efficiency
• Develop and maintain SQL and Python-based data solutions
• Work with orchestration tools like Airflow or Azure Data Factory
• Perform code reviews, testing, and ensure data quality standards
• Collaborate with business users, analysts, and engineers to support data needs
• Implement automation and process improvements across data workflows

Requirements

• 5+ years of experience in Data Engineering or Data Operations
• Strong SQL and Python skills
• Experience with Snowflake or similar cloud data warehouses
• Experience with Azure, AWS, or GCP cloud platforms
• Experience with DBT, Airflow, or Azure Data Factory
• Strong understanding of data modeling and data warehousing concepts
• Experience with Git and CI/CD workflows

Nice-to-Have

• Databricks experience
• Cloud cost optimization and performance tuning experience
• Experience with enterprise data migrations
• Airline industry experience

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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