Description

You will lead data management efforts with a focus on analytical data warehousing.

Responsibilities

• Develop ETL pipelines using Python and Snowflake SQL to move data in and out of the warehouse.
• Create and analyze SQL and PL/SQL procedures for complex data integration tasks.
• Build Unix shell scripts to handle data extraction and loading processes.
• Design SQL-based processes to implement slowly changing dimensions and various fact table types.
• Perform SQL performance tuning, root cause analysis for failures, and technical issue resolution.

Required Skills

• 8+ years of experience in Data Management and analytical data warehousing.
• 3+ years of hands-on experience with Snowflake cloud warehouse and its features.
• Proficiency in Python and Snowflake SQL for pipeline development.
• Strong expertise in SQL and PL/SQL for data integration.
• Experience writing Unix shell scripts for ETL processes.
• Solid understanding of AWS architecture and services.
• Knowledge of logical and physical data models for BI and analytics.
• Experience using Jira for documentation and Agile project workflows.

Key Skills

Education

Any Graduate