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The ideal candidate will be a self-starter who can independently own and deliver end-to-end tasks, while also guiding junior team members.\nKey Responsibilities:\nDesign, develop, and maintain scalable data-driven and event-driven applications.\nDevelop backend services using Python (Django, Flask) and integrate them with distributed data processing pipelines using PySpark.\nWork independently on assigned tasks and take complete ownership from design to deployment.\nCollaborate with cross-functional teams for requirements gathering, design discussions, and delivery planning.\nGuide and mentor junior resources in coding best practices and problem-solving.\nWork with RDBMS and NoSQL databases to design and optimize storage solutions.\nIntegrate applications with messaging services like Kafka and MQ for event-driven architectures.\nEnsure smooth deployments through CI/CD pipelines using Jenkins and Docker.\n\nCore Skills & Technologies:\nLanguages: Python 3\nFrameworks: Apache Spark (PySpark), Django, Flask\nDatabases: PostgreSQL (RDBMS), Cassandra, MongoDB (NoSQL)\nMessaging: Kafka, MQ\nArchitecture: Event-Driven, Data-Driven\nCI/CD Tools: Jenkins, Docker\nMonitoring tools: ELK, Prometheus, Grafana\nGood to Have:\nKnowledge of Data Lake and Data Warehouse concepts.\nExposure to large-scale distributed systems.\nExposure to any of cloud provider [GCP, AWS, Azure]\nQualifications:\nBachelor's or Master's degree in Computer Science, Engineering, or related field.\n5+ years of professional software development experience.\nAt least 2+ years of hands-on experience with PySpark for big data processing.\nStrong backend development experience with Django and Flask.\nProven ability to work independently and take end-to-end ownership of tasks.\nStrong problem-solving, communication, and mentoring skills.\nSkills\nElk, Mq, Cassandra, Pyspark, PostgreSQL, Prometheus, Kafka, Grafana, Django, Jenkins, Docker, Flask, MongoDB, 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