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 contemporary data stack environment.
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
📌 Senior Data Engineer – Data Operations (Snowflake / Azure) (India)
🏢 Sky Systems, Inc. (SkySys)
📍 India
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