Roles and Responsibilities

• Develop, optimize, and maintain scalable data pipelines using SQL and Python.
• Write and maintain efficient DDL (Data Definition Language) and DML (Data Manipulation Language) scripts to support data warehousing needs.
• Build and maintain data models and ETL processes within Snowflake.
• Leverage Pandas and Python for data cleaning, manipulation, and transformation.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
• Monitor data workflows to ensure data integrity, performance, and availability.
• Document processes, data flows, and technical architecture for ongoing reference and audits.

Required Skills & Qualifications

• Strong proficiency in SQL, including DDL and DML operations.
• Experience writing complex SQL queries for data analysis and transformation.
• Hands-on experience with Snowflake or similar cloud data warehouses.
• Solid working knowledge of Python with emphasis on Pandas for data processing.
• Understanding of data modeling concepts and best practices for relational databases.
• Familiarity with version control systems such as Git.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.

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