Snowflake Data Engineer

This role focuses on designing, developing, and maintaining robust data pipelines and solutions using Snowflake. The Data Engineer will be responsible for ensuring data quality, performance, and scalability within the Snowflake environment, supporting business intelligence and analytics initiatives.

Key Responsibilities:

Develop and maintain ETL processes to ingest, transform, and load data into Snowflake.
Design and implement data models and schemas within Snowflake.
Optimize Snowflake performance through query tuning, indexing, and other techniques.
Monitor and troubleshoot data pipelines and systems.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
Ensure data quality and integrity through data validation and cleansing.

Requirements/Qualifications:

Experience with Snowflake data warehousing platform.
Proficiency in SQL and data modeling techniques.
Experience with ETL tools and data integration processes.
Strong understanding of data warehousing concepts.
Ability to work independently and as part of a team.
Excellent problem-solving and analytical skills.

About the Company: Infosys is a global leader in technology services and consulting. The company helps clients transform their businesses through digital innovation and technology solutions.