Responsibilities

• Gather, analyse, and document business and data requirements.
• Enhance data collection and consumption processes through more efficient data integration channels.
• Design, develop, and maintain data pipelines, ETL processes, and reporting solutions to support analytics and business needs.
• Prepare test plans, execute system testing, and support user acceptance testing (UAT).
• Collaborate with technical and business stakeholders to ensure successful deployment and adoption of solutions.
• Monitor, support, and maintain production systems to ensure service reliability and performance.
• Troubleshoot and resolve data, application, and infrastructure-related issues.

Requirements

• 5-7 years of experience with Python, PySpark, Linux, SQL, data modelling, and ETL tools such as Informatica.
• Experience with Hadoop ecosystem technologies such as Hi...