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Job Description & How to Apply Below
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 Dev Ops 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 Service Now 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.
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