We are seeking a highly skilled Senior Data Engineer/python developer with expertise in Python, PySpark, SQL, and big data technologies. The ideal candidate will have experience in building scalable data pipelines using tools like Spark, Hadoop, Kafka, and Airflow, while also working with cloud platforms (AWS, Azure, GCP). Strong proficiency in relational and NoSQL databases (Oracle, Postgres, MongoDB, Cassandra) is required. You will be responsible for optimizing ETL workflows, implementing performance improvements, and ensuring smooth data integration across systems. Experience with AI/ML and using generative AI tools (e.g., GitHub Copilot) in SDLC is a must. Telecom domain knowledge, especially in Buy-flow processes and customer journey interactions, is highly preferred. Proficiency in visualization tools such as Tableau or PowerBI is a plus. Must be adept at troubleshooting and using logging/monitoring tools like Kibana. Expertise in CI/CD and Git for version control is essential. Join our dynamic team to work on cutting-edge data infrastructure and analytics solutions.
