Job Type: Full-time

Role: Senior Data Operations EngineerPosition 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 ESTLocation : 100% RemoteWe are seeking a Senior Data Engineer to support enterprise data operations, pipeline optimization, and cloud data platform management within a up-to-date data stack environment.Key ResponsibilitiesBuild, manage, and optimize scalable data pipelines (ELT/ETL)Support Snowflake-based data warehouse and Databricks/Azure data environmentsMonitor and improve data pipeline performance, reliability, and cost efficiencyDevelop and maintain SQL and Python-based data solutionsWork with orchestration tools like Airflow or Azure Data FactoryPerform code reviews, testing,



and ensure data quality standardsCollaborate with business users, analysts, and engineers to support data needsImplement automation and process improvements across data workflowsRequirements5+ years of experience in Data Engineering or Data OperationsStrong SQL and Python skillsExperience with Snowflake or similar cloud data warehousesExperience with Azure, AWS, or GCP cloud platformsExperience with DBT, Airflow, or Azure Data FactoryStrong understanding of data modeling and data warehousing conceptsExperience with Git and CI/CD workflowsNice-to-HaveDatabricks experienceCloud cost optimization and performance tuning experienceExperience with enterprise data migrationsAirline industry experience

📌 Senior Data Engineer Data Operations (Snowflake / Azure) (Mumbai)
🏢 Sky Systems, Inc. (SkySys)
📍 Mumbai