Job DescriptionNote: Looking for Immediate JoinersJob Title: Data Engineering Specialist (Streaming & Integration)Department: Data & AnalyticsReports To: Data Engineering ManagerLocation: Remote (Global)Employment Type: Full-TimeOverview:We are seeking a highly skilled Data Engineering Specialist with deep expertise in real-time data streaming and integration platforms to join our growing data team. The ideal candidate will have hands-on experience with SnapLogic and Confluent Kafka, and will be responsible for designing, building, and maintaining robust, scalable data pipelines that enable real-time analytics, operational intelligence, and seamless integration across enterprise systems.Key Responsibilities:- Design, develop, and maintain high-throughput, low-latency data pipelines using SnapLogic and Confluent Kafka.- Architect and implement event-driven systems using Kafka for real-time data ingestion, processing, and distribution across microservices and downstream analytics platforms.- Configure and manage SnapLogic integration workflows for secure, reliable, and automated data movement between SaaS, on-premise, and cloud applications.- Collaborate with data scientists, analysts, and application teams to understand data needs and deliver scalable integration solutions.- Optimize Kafka cluster performance, monitor stream health, and ensure data durability, consistency, and fault tolerance.- Implement data quality checks, schema evolution strategies,



and observability using tools like Confluent Control Center, Grafana, and Prometheus.- Ensure security and compliance in data flows through encryption, access control, and audit logging.- Participate in agile ceremonies and contribute to technical documentation, release planning, and CI/CD practices.- Stay current with evolving trends in streaming data, integration platforms, and cloud-native data architectures.Required Qualifications:- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.- 4+ years of professional experience in data engineering with a focus on streaming data and integration.- Proven experience with Confluent Kafka: building producers/consumers, managing topics, handling partitioning, replication, and stream processing using Kafka Streams or KSQL.- Extensive hands-on experience with SnapLogic, including building, testing, and deploying integrations using the SnapLogic Integration Cloud.- Solid understanding of data modeling, ETL/ELT processes, and data pipeline orchestration.- Experience with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes).- Proficiency in scripting languages (Python, Bash) and familiarity with infrastructure as code (Terraform, CloudFormation).- Knowledge of data security, governance, and compliance standards (e.G., GDPR, SOC 2).- Excellent communication skills and ability to work in a collaborative, remote-first environment.Note: Looking for Immediate Joiners

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