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
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Build scalable and fault-tolerant event-driven data architectures
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Process high-volume streaming data with low latency and high reliability
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Integrate data from multiple sources into centralized data platforms (Data Lake / Lakehouse)
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Optimize data pipelines for performance, scalability, and cost efficiency
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Ensure data quality, governance, and compliance aligned with banking standards
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Work with cross-functional teams to translate business requirements into technical solutions
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Monitor and troubleshoot streaming jobs and production pipelines
Required Skills & Experience-
5+ years of experience in Data Engineering
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Strong hands-on experience with:
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PySpark / Spark Streaming
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Apache Kafka (Producers, Consumers, Kafka Streams)
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Apache Flink or other real-time processing frameworks
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Experience building real-time / near real-time data pipelines
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Strong understanding of distributed systems and event-driven architecture
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Proficiency in Python / Java / Scala
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Experience with data lakes, ETL/ELT pipelines, and big data ecosystems
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Knowledge of cloud platforms (AWS / Azure / GCP) is a plus
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Familiarity with banking, risk, or compliance data systems is highly preferred
Preferred Qualifications-
Experience working in financial services or banking domain
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Exposure to data governance, regulatory reporting, or compliance systems
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Knowledge of CI/CD pipelines and DevOps practices for data platforms
