Senior Data Engineer Data Operations (Noida)

Role: Senior Data Operations Engineer Position Type: Full-Time Contract (40hrs/week) Contract Duration: 12 months+ (With a Possibility-of-Extension) Work Schedule: 8 hours/day (Mon-Fri) Work Hours: 3:30am - 12:30pm EST Location: 100% Remote We are seeking a Senior Data Engineer to support enterprise data operations, pipeline optimization, and cloud data platform management within a modern data stack workplace. Key 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 Role: Senior Data Operations Engineer Position Type: Full-Time Contract (40hrs/week) Contract Duration: 12 months+ (With a Possibility-of-Extension) Work Schedule: 8 hours/day (Mon-Fri) Work Hours: 3:30am - 12:30pm EST Location: 100% Remote We are seeking a Senior Data Engineer to support enterprise data operations, pipeline optimization, and cloud data platform management within a modern data stack workplace. Key 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