Description

You will build and maintain data pipelines and warehouses using Snowflake and AWS. This role is hybrid.

Responsibilities

• Develop and optimize data pipelines in Snowflake using SQL and PL/SQL.
• Design and implement data models for analytics and efficient querying.
• Build ETL workflows for ingesting and loading data into Snowflake.
• Leverage AWS services for data storage and pipeline execution.
• Monitor pipeline performance and troubleshoot data quality issues.

Required Skills

• 5-12 years of experience in data engineering and cloud data warehousing.
• Strong proficiency in Snowflake development and warehouse object optimization.
• Expertise in SQL and PL/SQL for transformations, stored procedures, and tuning.
• Experience with AWS services for cloud-based data warehousing.
• Deep understanding of ETL-style data loading patterns and reliable data delivery.

Preferred Skills

• Python for pipeline automation and engineering utilities.
• Experience with batch and streaming ingestion patterns.
• Data modeling experience including dimensional modeling and schema design.

Bachelor's or Master's Degree in Computer Science.

Key Skills

Education

Any Graduate