About Baazi Games Established in 2014, Baazi Games set out to give India a flavor of online gaming by introducing a plethora of indigenous apps. Combined with the reward of real money skill-based games, it was a winning formula for all game lovers. With scintillating, top-of-the-line gaming platforms across the board, it wasn’t long before PokerBaazi, CardBaazi, and SportsBaazi became household names. Our player-centric brand value only helped us deliver the best for our 12 million-plus users. Coupled with market adaptation, innovative product offerings, and a trusted brand name, Baazi Games soon became a force to reckon with and a technology giant. Here we are today with a safe, secure, and the most rewarding online gaming network that’s homegrown and India’s very own! BAAZI GAMES Main Platforms- PokerBaazi.com SportsBaazi.com CardBaazi.com Experience: 4+ Years We are seeking a highly skilled individual for our consumer facing Real time Game analytics application. Any suitable candidate with a strong background in both Data and backend development, they will be managing real-time data processing systems. The ideal candidate will be proficient in technologies such as Apache Kafka, Apache Flink, Apache Spark, Elasticsearch, Data Pipelines, Python, Scala , API. This role requires a blend of data engineering and Backend skills and deep technical knowledge to develop robust, scalable, and efficient data solutions that drive our business insights and operational capabilities. Key Responsibilities: - Design, build, and maintain scalable and robust data pipelines for real-time data processing and analytics. - Develop backend systems to integrate real and processed data into the storage infrastructure. - Develop and optimize data ingestion and aggregation frameworks using Apache Kafka and Apache Flink. - Implement data processing workflows and batch processing jobs using Apache Spark. - Manage and optimize Elasticsearch clusters for high-performance querying and data analysis. - Ensure data integrity and consistency while implementing data security and compliance measures. - Collaborate with data scientists and business stakeholders to deliver data-driven solutions and insights. - Continuously evaluate and integrate new technologies and tools to enhance the data infrastructure. Requirements: - Minimum of 4 years of experience as a Data Engineer + Backend Engineer in a similar role with a strong focus on backend and Data development. - Proven expertise in Apache Kafka, Apache Flink, and real-time data streaming technologies. - Strong experience with Apache Spark for large-scale data processing. - Proficient in managing and querying Elasticsearch clusters. - Solid programming skills in Java, Scala, or Python. - Understanding of distributed systems and data architecture principles. - Excellent problem-solving skills and ability to work in fast-paced environments. - Strong communication and collaboration skills to work effectively across teams. Preferred Qualifications: - Experience with cloud services (AWS) and their data processing products. - Knowledge of additional NoSQL databases and tools. - Contributions to open-source projects or community engagements related to data processing technologies.