Description

You will lead the migration of legacy on-premise technology and data processing to the AWS cloud environment.

Responsibilities

  • Migrate data from legacy on-premise systems to AWS using Snowflake.
  • Build centralized data hubs to aggregate metrics and facts from various cloud and on-premise sources.
  • Develop data models to allocate expenses across dimensions such as Line of Business, Customer, and Product.
  • Automate data workflows to reduce manual errors and increase analytics speed.
  • Create aggregated data views to support both enterprise-level and detailed performance reporting.

Required Skills

  • 5+ years of experience in data engineering.
  • Proficiency with Snowflake.
  • Hands-on experience with AWS.
  • Strong Python programming skills.
  • Expertise in SQL and Oracle Database.
  • Experience with Linux environments.
  • Knowledge of Data Warehouse architecture.
  • Experience using Control-M (BMC) for workload automation.
  • Bachelor's degree or equivalent experience.

Key Skills
Education

Any Graduate

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