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Senior Data Engineer – Data Operations (Snowflake / Azure)

Sky Systems, Inc. (SkySys)
Remote - India
ContractRemote5+ yrs
8hrs ago0 view0 clicked apply
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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 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


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