Description

You will build and maintain data pipelines for extraction, transformation, and loading. This role is on-site.

Responsibilities

• Write effective Python code for ETL processes.
• Perform data manipulation and analysis using Pandas, NumPy, and SQL.
• Work with structured and unstructured data sources from a Data Lake environment.
• Implement error and exception handling within Python scripts.
• Develop and maintain unit and regression tests to ensure data accuracy and code stability.

Required Skills

• 10+ years of professional experience.
• Strong programming experience in Python.
• Proficiency in Pandas, NumPy, and writing complex SQL queries.
• Experience working with Data Lakes and processing large data volumes.
• Ability to parse and consolidate data from Excel, CSV, and plain text formats.
• Hands-on experience writing unit tests and implementing error handling.

Preferred Skills

• Experience with unstructured data processing.
• Knowledge of Data Lake concepts.

Key Skills

Education

Any Graduate