Streaming Data Engineer

• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
• Five or more years of experience operating Apache Kafka or Confluent Platform in production.
• Deep, hands-on knowledge of Kafka internals (partitions, replication, ISRs, consumer groups).
• Strong experience with Kafka security (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-code (Terraform, Ansible).
• Working knowledge of observability tooling for Kafka.
• Excellent troubleshooting, communication, and documentation skills.
• Confluent Certified Administrator or Developer credentials.
• Experience operating Kafka on Kubernetes (Strimzi, Confluent Operator).
• Exposure to managed Kafka services (AWS MSK, Azure Event Hubs Kafka API).
• Familiarity with stream processing frameworks (Flink, Spark Streaming).
• Experience with data governance and lineage for streaming data.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Originally posted on Himalayas