Description

You will architect and implement large-scale data intelligence solutions using the Snowflake Data Warehouse.

Responsibilities

• Architect and implement large-scale data intelligence solutions on Snowflake.
• Automate data pipelines using cloud-based testing frameworks and document implementations clearly.
• Provide flexible solutions to complex business problems using current technology practices.
• Contribute to evolving the architecture to improve flexibility and usability.
• Conduct code reviews and troubleshoot production issues.

Required Skills

• 10+ years of professional experience in data engineering.
• Designing and implementing large-scale data solutions on Snowflake Data Warehouse.
• Professional knowledge of AWS or Azure cloud platforms.
• Developing ETL pipelines using Python and Snowflake SQL.
• Writing complex SQL queries against Snowflake.
• Hands-on experience building productionized data ingestion pipelines using Python, Java, Spark, or Scala.
• Understanding of data backup and restoration processes.
• Excellent written and verbal communication, including presentation skills.

Key Skills

Education

Any Gradute