▷ Solo Quedan 24h : Middle / Senior Data Engineer for Support...

Overview

Role Overview : As a Data Engineer on our Support Team, you will be responsible for maintaining robust data pipelines to support our products and services. You will work closely with cross-functional teams to understand data requirements and implement efficient solutions using PySpark. The ideal candidate will have a strong background in data engineering, exceptional problem-solving skills, and a passion for working with large-scale datasets.

Key Responsibilities

• Perform ongoing maintenance and optimization of existing data pipelines built with PySpark.
• Monitor pipeline performance and proactively identify areas for improvement to enhance efficiency and reliability.
• Maintain scalable data pipelines using PySpark to support various business needs.
• Ensure that all data is getting refreshed automatically daily as per SLA and data quality is being permanently monitored.
• Troubleshoot and resolve complex issues of Foundry users within SLAs.
• Optimize and tune existing data pipelines for improved performance and reliability.
• Troubleshoot and resolve data-related issues on time to ensure smooth operation of production systems.
• Document processes, procedures, and troubleshooting steps to facilitate knowledge sharing and maintain system integrity.
• Ensure immediate communications in case of Foundry outages and delays, but also for upcoming changes and other support information to end users.
• Implement continuous improvement of existing processes.

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