Flink Manager

Stelle nicht auf LinkedIn

🕒 vor 3 Monaten

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mails für Remote-Jobs erhalten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Weekday (YC W21)

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2021

☁️ SaaS

🎯 Rekrutierung

Human Resources • SaaS • Recruitment

Weekday ist eine moderne Rekrutierungsplattform, die KI-Technologien mit einer umfangreichen Datenbank potenzieller Kandidaten kombiniert, um den Einstellungsprozess für Unternehmen in Indien zu optimieren. Sie bieten verschiedene Dienstleistungen an, einschließlich eines proaktiven Outreach-Ansatzes, der Arbeitgebern hilft, mit Top-Talenten in Kontakt zu treten, sowie Tools für Kandidaten, um sich einfach auf Stellen zu bewerben. Weekdays Schwerpunkt auf Kandidatenbindung über mehrere Kanäle, einschließlich E-Mail, WhatsApp und Telefonanrufen, hebt sie im wettbewerbsintensiven Marktumfeld der Personalagenturen ab.

Beschreibung

• As a Flink Manager, you will be responsible for driving real-time streaming initiatives, managing high-performing engineering teams, and architecting scalable data solutions that power mission-critical business applications. • You will collaborate closely with product, analytics, infrastructure, and leadership teams to translate business requirements into resilient streaming architectures. • Lead the design, development, and deployment of real-time data processing pipelines using **Apache Flink**. • Architect scalable, fault-tolerant, and low-latency streaming systems leveraging Flink’s DataStream and Table APIs. • Manage end-to-end lifecycle of Flink applications including development, testing, optimization, monitoring, and production support. • Drive best practices for state management, checkpointing, windowing, event-time processing, and fault tolerance in Flink. • Optimize Flink job performance, resource allocation, and cluster tuning for high-throughput environments. • Oversee integration of Flink with distributed systems such as Kafka, data lakes, warehouses, and microservices. • Lead and mentor a team of data engineers, conducting code reviews and enforcing engineering excellence standards. • Collaborate with DevOps teams to manage Flink deployments on cloud and on-prem environments. • Establish monitoring, logging, and alerting mechanisms for streaming pipelines to ensure high availability and reliability. • Contribute to roadmap planning for streaming and real-time analytics platforms.

🎯 Anforderungen

• 8–12 years of overall experience in data engineering, distributed systems, or backend engineering. • Strong hands-on expertise in **Apache Flink** (minimum 3–5 years preferred). • Deep understanding of stream processing concepts including event-time semantics, watermarking, state backends, and exactly-once guarantees. • Proven experience designing and managing high-throughput, low-latency Flink pipelines. • Strong programming skills in Java or Scala for Flink development. • Experience with distributed messaging systems (e.g., Kafka) and data storage systems. • Familiarity with cluster resource management frameworks (YARN, Kubernetes, or similar). • Strong debugging, troubleshooting, and performance tuning skills specific to Flink workloads. • Experience leading engineering teams and managing cross-functional stakeholders.