Senior Data Engineer - Real-Time Streaming (Chennai)

Description We are looking for a Senior Data Engineer with deep expertise in real-time data streaming and distributed data processing to design, build, and scale next-generation data platforms. This role is critical in enabling event-driven architecture and real-time analytics for mission-critical banking systems, particularly across risk and compliance functions. You will collaborate closely with data architects, platform engineers, and business stakeholders to deliver low-latency, high-throughput data pipelines that power advanced analytics and decision-making. Key Responsibilities - Design, develop, and maintain real-time streaming pipelines using Apache Kafka, PySpark, and Flink - Build scalable and fault-tolerant event-driven data architectures - Process high-volume streaming data with low latency and high reliability - Integrate data from multiple sources into centralized data platforms (Data Lake / Lakehouse) - Optimize data pipelines for performance, scalability, and cost efficiency - Ensure data quality, governance, and compliance aligned with banking standards - Work with cross-functional teams to translate business requirements into technical solutions - Monitor and troubleshoot streaming jobs and production pipelines Required Skills & Experience - 5+ years of experience in Data Engineering - Strong hands-on experience with: - PySpark / Spark Streaming - Apache Kafka (Producers, Consumers, Kafka Streams) - Apache Flink or other real-time processing frameworks - Experience building real-time / near real-time data pipelines - Solid understanding of distributed systems and event-driven architecture - Proficiency in Python / Java / Scala - Experience with data lakes, ETL/ELT pipelines, and big data ecosystems - Knowledge of cloud platforms (AWS / Azure / GCP) is a plus - Familiarity with banking, risk, or compliance data systems is highly preferred Preferred Qualifications - Experience working in financial services or banking domain - Exposure to data governance, regulatory reporting, or compliance systems - Knowledge of CI/CD pipelines and DevOps practices for data platforms .