Description

You will lead the design and implementation of data solutions on the Snowflake platform, ensuring scalability and performance across AWS infrastructure.

Responsibilities

  • Architect and optimize Snowflake data pipelines using SQL, functions, procedures, streams, and tasks.
  • Design scalable data models and leverage core Snowflake architecture principles for efficient storage and compute.
  • Develop and maintain ETL processes using Python and tools like Informatica or IICS.
  • Integrate Snowflake with AWS core services, specifically S3 and EMR, for seamless data flow.
  • Mentor team members on Snowflake best practices and data engineering standards.

Required Skills

  • 7+ years of experience in data engineering or related roles.
  • Deep expertise in Snowflake SQL, including user-defined functions, stored procedures, streams, and tasks.
  • Strong understanding of Snowflake architecture, data loading, and platform design.
  • Proficiency in Python for data processing and automation.
  • Hands-on experience with AWS services, particularly S3 and EMR.
  • Practical experience with ETL tools such as Informatica or Informatica Cloud (IICS).
  • Ability to work independently and lead technical decisions.

Preferred Skills

  • Experience with Informatica Data Cloud (IDMC).
  • Knowledge of data governance and security within Snowflake.

Education

Any Graduate