11 часов назад
Data Engineer II (Kafka/Flink)
150 100 - 225 100$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer II (Kafka/Flink): Building scalable backend applications, stream-processing jobs, ETL workflows, and APIs for a real-time cloud streaming data platform with an accent on high-throughput systems, reliability, and actionable data insights. Focus on migrating on-premises Kafka, optimizing distributed pipelines, and designing fault-tolerant data infrastructure with Flink, JVM languages, and AWS technologies.
Location: United States, Aliso Viejo, California. The role may be subject to a hybrid working policy.
Base pay range: $150,100–$225,100 USD per year, with potential bonus eligibility.
Company
Interactive entertainment and technology business developing hardware, network services, and cloud streaming experiences for the brand.
What you will do
- Design and implement high-throughput middleware and backend systems.
- Develop and maintain stateful and stateless Flink stream-processing jobs and scalable ETL pipelines.
- Optimize data pipeline performance, reliability, monitoring, and scalability.
- Support migration from on-premises Kafka to new cloud technologies.
- Contribute to architectural decisions for the cloud streaming data platform.
- Collaborate with Business Intelligence and product teams to convert data into actionable business insights.
Requirements
- Bachelor’s or Master’s degree in Computer Science, a related field, or equivalent practical experience.
- 3+ years of software development and backend engineering experience with high-throughput, concurrent, highly available, and fault-tolerant systems.
- Proficiency in Kotlin, Scala, or Java, along with Python; experience with Apache Kafka, Flink, Spark, and SQL.
- Experience with ETL, stream processing, real-time pipelines, batch processing, Git, and CI/CD.
- Knowledge of REST, JSON, gRPC, WebSockets, Avro, Protobuf, functional and object-oriented programming, and TDD.
- Ability to monitor system performance, identify bottlenecks, and collaborate with geographically distributed teams.
Nice to have
- Enterprise-scale AWS experience, including OpenSearch, MSK, and EKS.
- Experience with Kubernetes, Docker, and cloud deployment technologies.
Culture & Benefits
- Work in a distributed team environment across time zones and communication channels.
- Medical, dental, and vision coverage.
- Matching 401(k), paid time off, and a wellness program.
- Employee discounts on products and potential bonus eligibility.
- Background checks are conducted at the offer stage.
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