Data Engineer - Python /Pyspark

We are seeking an experienced Data Engineer with strong expertise in Python/PySpark and Telecom OSS domain, particularly in the Assurance area. The ideal candidate will have hands-on experience in big data solutions, data lakes, and modern DevOps practices.

Key Responsibilities

• Design, develop, and implement solutions in the Telecom OSS Assurance domain.
• Build and maintain data pipelines, ETL processes, and data lake solutions.
• Work with big data technologies such as Kafka, Hadoop, Hive, and related tools.
• Develop and optimize Python/PySpark scripts for large-scale data processing.
• Implement continuous integration and delivery (CI/CD) practices using Docker, Git, Jenkins, etc.
• Collaborate with clients and cross-functional teams to deliver high-quality, scalable solutions.
• Stay proactive and self-driven in a client-facing, fast-paced environment.

Experience Required

• 6+ years of overall IT experience, preferably in Telecom OSS, with strong Assurance domain knowledge.
• Hands-on experience in ServiceNow for Assurance processes.
• Strong proficiency in Python/PySpark and big data ecosystems.
• Experience implementing CI/CD pipelines and working with Docker, Git, Jenkins.
• Excellent communication and problem-solving skills for client interactions.