Description

You lead data engineering efforts for advanced analytics platforms, owning the design of data models and complex ETL pipelines within Snowflake.

This role is hybrid.

Responsibilities

• Design logical and physical data models, applying normalization and de-normalization techniques for efficient querying and reporting.
• Build and implement complex ETL/ELT pipelines to load and transform data into Snowflake.
• Design and implement data security measures and access controls across the data platform.
• Translate business requirements into technical solutions and guide customers through data implementations.
• Lead cross-functional teams, driving projects and advising customer executives.

Required Skills

• 5+ years of experience in data engineering and advanced analytics.
• Deep knowledge of the Snowflake platform.
• Proficiency in SQL.
• Experience with ETL and Data Warehousing concepts.
• Familiarity with Databricks.
• Experience with Cloud Services, specifically AWS and Azure.
• Coding proficiency in Python or Java.
• Understanding of data modeling best practices.

Preferred Skills

• Experience leading cross-functional teams and advising executive stakeholders.

Key Skills

Education

Any Gradute