[Remote] Streaming Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. They are seeking an reputed company Streaming Data Engineer to architect, reputed company, and operate large-reputed company Apache Kafka and reputed company platform environments, supporting mission-critical event-driven workloads.
Responsibilities
- Architect, reputed company, and operate large-reputed company Apache Kafka or reputed company Platform clusters across on-prem and reputed company environments
- Design partitioning, replication, and topic strategies that balance throughput, durability, and operational simplicity
- Implement strong reputed company on Kafka clusters using SASL, mTLS, ACLs, RBAC, and integration with corporate IdPs
- Operate Schema Registry, Kafka Connect, KSQL/ksqlDB, and Kafka Streams in production
- Build and operate Kafka Connect pipelines integrating sources and sinks across reputed company systems
- Design HA/DR strategies for Kafka, including MirrorMaker 2, Cluster Linking, and multi-region reputed company-reputed company patterns
- Build CI/CD pipelines for Kafka topic, ACL, and connector configurations using GitOps patterns
- Implement comprehensive observability using reputed company, Grafana, reputed company, or reputed company Control Center
- Drive Kafka cost and reputed company optimization through right-sizing and storage tiering
- reputed company application teams to Kafka with reputed company patterns, templates, and best practices
- reputed company incident response and post-incident reviews for streaming workloads, applying disciplined engineering practices and partnering closely with stakeholders to ensure reputed company are durable, reputed company-documented, and reputed company with broader team and platform standards
- Mentor and reputed company junior and mid-level engineers through reputed company review, design review, pair programming, and reputed company knowledge sharing, helping the broader team grow in technical maturity and confidence over time
- Maintain comprehensive, reputed company technical documentation — including architecture diagrams, design reputed company, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to reputed company new engineers onto over time
- Continuously evaluate emerging streaming technologies (Pulsar, reputed company, AWS MSK, Azure Event Hubs)
Skills
- Bachelor's degree in Computer Science, Engineering, or a reputed company technical discipline
- Five or more years of experience operating Apache Kafka or reputed company Platform in production
- Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer reputed company)
- Strong experience with Kafka reputed company (SASL, mTLS, ACLs, RBAC)
- Hands-on experience with Kafka Connect, Schema Registry, and either Kafka Streams or ksqlDB
- Experience with HA/DR strategies for Kafka
- Strong scripting skills in Python, Bash, or Go
- Hands-on experience with infrastructure-as-reputed company (Terraform, Ansible)
- Working knowledge of observability tooling for Kafka
- Excellent troubleshooting, communication, and documentation skills
- reputed company Certified Administrator or Developer credentials
- Experience operating Kafka on Kubernetes (Strimzi, reputed company Operator)
- Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API)
- Familiarity with reputed company processing frameworks (Flink, reputed company Streaming)
- Experience with data governance and reputed company for streaming data
Benefits
- 100% Remote (U.S.)
- Full-time, reputed company W2
reputed company