Description

Key Skills: Snowflake, AWS, SQL, PL/SQL, Data modeling, ETL, Python

Roles and Responsibilities:

• Develop and optimize data pipelines and transformations in Snowflake using SQL and PL/SQL.
• Design, implement, and maintain data models that support analytics use cases and efficient querying.
• Build and manage ETL workflows for ingesting, transforming, and loading data into Snowflake.
• Leverage AWS services to support data ingestion, storage, and pipeline execution patterns.
• Monitor pipeline performance, troubleshoot data quality issues, and improve query efficiency and reliability.

Skills Required:

• 5-12 years of relevant experience in data engineering and cloud data warehousing
• Snowflake (development and optimization of warehouse objects)
• SQL and PL/SQL for data transformations, stored procedures, and performance tuning
• AWS experience for cloud-based data warehousing and pipeline enablement
• Strong understanding of ETL-style data loading patterns and reliable data delivery into Snowflake

Good to Have:

• Python for pipeline automation and data engineering utilities
• ETL development experience (batch/streaming ingestion patterns)
• Data modeling experience (dimensional modeling, schema design, and optimization)

Education: Bachelor's Degree in Computer Science, Master's Degree in Computer Science

Key Skills

Education

Any Graduate