Description

You will build and maintain data-driven applications using Python and distributed computing frameworks.

This role is on-site.

Responsibilities

• Develop and optimize data pipelines using PySpark and ETL processes.
• Design and implement REST APIs to facilitate data exchange.
• Manage data integration using JDBC and various SQL/NoSQL technologies.
• Work with structured and unstructured data formats including XML and JSON.

Required Skills

• 5+ years of experience in Data Technologies including SQL, NoSQL, and Data Lake/Warehouse environments.
• 3+ years of professional Python development experience.
• Hands-on experience with PySpark.
• Proficiency with REST APIs and data formats like XML and JSON.
• Experience with JDBC and Java.
• Knowledge of data warehousing, GRC, and metadata management.

Preferred Skills

• Familiarity with SaaS platforms such as Snowflake or Collibra.
• Exposure to full stack tools including Angular, Spring Boot, Selenium, and Cucumber.

Key Skills

Education

Any Graduate