Description

You will design, develop, and maintain data pipelines and architectures to support analytical needs.

Responsibilities

• Design and maintain data models and pipelines to translate complex analytical requirements into actionable data solutions.
• Optimize Snowflake performance through query tuning and advanced optimization techniques.
• Build and manage reports and data models leveraging multiple data sources across complex hierarchies.
• Collaborate with offshore teams to own end-to-end project delivery.
• Bridge the gap between business requirements and technical capabilities through active stakeholder discussion.

Required Skills

• 5+ years of experience in data engineering.
• Expert fluency with Snowflake, including SnowSQL and Snowpipe.
• Advanced SQL skills including complex joins, self-joins, views, materialized views, cursors, recursive queries, GROUP BY, and PARTITION BY.
• Proficiency in Python, specifically using Pandas, Numpy, PyParsing, and Datetime.
• Experience with AWS for building cloud-native applications.
• Hands-on experience with MySQL and Tableau.
• Experience with dimensional data modeling and Slowly Changing Dimensions (SCD Type 1, 2, 3).
• Proficiency in orchestration using Apache Airflow and working with APIs.
• Experience with Business Objects and Tableau server modules.

Key Skills

Education

Any Gradute