Job Responsibilities: Develop and maintain data pipelines for large-scale data processing. Work with streaming data technologies, including Kafka, kSQL, and Mirror Maker. Design and implement near real-time data streaming solutions. Optimize ETL processes for performance, scalability, and reliability. Collaborate with cross-functional teams to ensure seamless data integration. Ensure data quality, security, and compliance with best practices. Mandatory Skills & Qualifications: At least 7 years of experience in data-focused development projects. Expertise in Kafka framework, including kSQL and Mirror Maker. Proficiency in at least one programming language: Groovy or Java. Strong knowledge of data structures, ETL design, and storage optimization. Hands-on experience in real-time/streaming data pipeline development using Apache Spark, StreamSets, Apache NiFi, or similar frameworks.

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