Senior Data Engineer - Real-Time Streaming

apartmentGSSTech Group placeChennai calendar_month 

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
  • Strong 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
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