Sr. Data Engineer - (RealTime Streaming)

Posted 3 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Fintech • Payments • Software • Financial Services • Automation
The Role
Design, build, and operate high-throughput, low-latency Kafka-based streaming architectures and data pipelines using Flink, Java, and PySpark. Manage and tune Kafka clusters, implement HA and disaster recovery, apply security (SSL/mTLS, SASL, ACLs), automate deployments with IaC (Terraform) and GitOps, and collaborate with cross-functional teams to deliver enterprise-grade real-time data solutions.
Summary Generated by Built In

We are looking for an experienced Senior Data Engineer with strong expertise in real-time streaming technologies and large-scale data engineering solutions. The ideal candidate will have hands-on experience designing, building, and managing highly scalable and fault-tolerant streaming data platforms using Kafka, Flink, Java, and PySpark.

The candidate will be responsible for developing high-throughput, low-latency data pipelines, managing Kafka clusters, implementing cloud-native data solutions, and ensuring system reliability, security, and scalability in enterprise environments.


RequirementsKey Responsibilities
  • Design, develop, implement, and manage Kafka-based real-time streaming architectures capable of handling high-volume and low-latency workloads.
  • Build and maintain scalable streaming data pipelines using Kafka ecosystem components, including:
    • Kafka Connect
    • ksqlDB
    • Schema Registry
  • Develop and optimize real-time data processing applications using:
    • Apache Flink
    • Java
    • PySpark
  • Perform Kafka cluster setup, administration, configuration, tuning, monitoring, and performance optimization.
  • Ensure Kafka clusters are highly available and implement disaster recovery strategies and best practices.
  • Design and implement fault-tolerant, scalable, and resilient streaming systems for enterprise-grade applications.
  • Work with cloud-native applications and modern data engineering frameworks to build scalable solutions.
  • Automate infrastructure provisioning and deployment using Infrastructure-as-Code (IaC) tools such as Terraform.
  • Implement and follow GitOps practices for deployment automation and infrastructure management.
  • Apply robust security standards and best practices, including:
    • SSL / mTLS
    • SASL authentication
    • ACL management
  • Collaborate with cross-functional teams to deliver real-time data engineering solutions aligned with business and analytics requirements.
Required Skills & TechnologiesMandatory Skills
  • Apache Kafka
  • Apache Flink
  • Java
  • PySpark
  • Real-Time Streaming Architecture
  • Kafka Cluster Management
  • Kafka Connect
  • ksqlDB
  • Schema Registry
  • Streaming Data Pipelines
  • Cloud-Native Applications
  • Terraform
  • Infrastructure-as-Code (IaC)
  • GitOps
  • High Availability & Disaster Recovery
  • Performance Tuning & Optimization
  • Fault Tolerance & Scalability
  • SSL / mTLS
  • SASL
  • ACLs
Preferred Experience
  • Strong experience in building enterprise-grade real-time data platforms.
  • Hands-on experience working in high-throughput and low-latency environments.
  • Experience with large-scale distributed data processing systems.
  • Exposure to cloud platforms and modern DevOps practices will be an added advantage.

Skills Required

  • Apache Kafka
  • Kafka Connect
  • ksqlDB
  • Schema Registry
  • Apache Flink
  • Java
  • PySpark
  • Real-Time Streaming Architecture
  • Kafka Cluster Management
  • Streaming Data Pipelines
  • Cloud-Native Applications
  • Terraform (Infrastructure-as-Code)
  • GitOps
  • High Availability & Disaster Recovery
  • Performance Tuning & Optimization
  • Fault Tolerance & Scalability
  • SSL / mTLS
  • SASL
  • ACLs
  • Experience building enterprise-grade real-time data platforms
  • Hands-on experience in high-throughput, low-latency environments
  • Experience with large-scale distributed data processing systems
  • Exposure to cloud platforms and modern DevOps practices
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The Company
Dubai Internet City
160 Employees
Year Founded: 1997

What We Do

Global Software Solutions Group Veracious product line is a series of robust banking platforms that provide core banking, payment systems, custom process automation, and document management solutions for banks and financial institutions in Middle East & Africa. This cutting-edge product line features the Veracious Payments Hub, Digital Banking and the DMS, all built on the Torus Lowcode development platform software. Global Software Solutions Group is a software solutions provider that aims to solve mission-critical problems that financial institutions face today. Our software solutions bring together our Low Code platform, the payments product line and customized service offerings to solve mission-critical statements in core banking, payments, process automation, and document management. The Payments Hub is GSS's flagship product.

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