Senior Data Engineer - Data Operations

You are a Senior Data Engineer responsible for supporting enterprise data operations, pipeline optimization, and cloud data platform management within a modern data stack environment. Your key responsibilities include: - Building, managing, and optimizing scalable data pipelines (ELT/ETL) - Supporting Snowflake-based data warehouse and Databricks/Azure data environments - Monitoring and improving data pipeline performance, reliability, and cost efficiency - Developing and maintaining SQL and Python-based data solutions - Working with orchestration tools like Airflow or Azure Data Factory - Performing code reviews, testing, and ensuring data quality standards - Collaborating with business users, analysts, and engineers to support data needs - Implementing automation and process improvements across data workflows Qualifications required for this role are: - 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 qualifications include Databricks experience, cloud cost optimization and performance tuning experience, experience with enterprise data migrations, and airline industry experience. You are a Senior Data Engineer responsible for supporting enterprise data operations, pipeline optimization, and cloud data platform management within a modern data stack environment. Your key responsibilities include: - Building, managing, and optimizing scalable data pipelines (ELT/ETL) - Supporting Snowflake-based data warehouse and Databricks/Azure data environments - Monitoring and improving data pipeline performance, reliability, and cost efficiency - Developing and maintaining SQL and Python-based data solutions - Working with orchestration tools like Airflow or Azure Data Factory - Performing code reviews, testing, and ensuring data quality standards - Collaborating with business users, analysts, and engineers to support data needs - Implementing automation and process improvements across data workflows Qualifications required for this role are: - 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 qualifications include Databricks experience, cloud cost optimization and performance tuning experience, experience with enterprise data migrations, and airline industry experience.