Description

Own the design, development, and maintenance of ETL processes and data pipelines. Ensure data accuracy, scalability, and system reliability across the data warehouse.

Responsibilities

• Design and maintain ETL processes to extract, transform, and load data from various sources into the data warehouse.
• Write complex SQL queries and PL/SQL scripts for data manipulation, validation, and transformation.
• Develop and maintain data pipelines using Python and libraries such as Pandas and Polar.
• Optimize ETL processes and data pipelines for performance and scalability to handle growing data needs.
• Implement data quality checks and monitoring to ensure accuracy and consistency across all systems.

Required Skills

• 8+ years of industry experience with data technologies.
• Strong proficiency in Python, SQL, and ETL tools.
• Experience with PL/SQL for database management and scripting.
• Deep understanding of Data Warehousing concepts and Data Modeling.
• Hands-on experience with Pandas for data manipulation.
• Ability to create and maintain technical documentation for ETL processes and database solutions.
• Strong problem-solving skills and ability to troubleshoot data-related issues.

Preferred Skills

• Experience with the Polar library for performance optimization.
• Knowledge of latest trends in data management and analytics.
• Effective communication and teamwork skills.

Key Skills

Education

Any Graduate