Senior Streaming Data Engineer

Responsibilities

• Build and evolve a shared streaming data processing framework using Apache Flink / Spark Structured Streaming
• Design streaming solutions for a high-load Data platform
• Define standards, engineering approaches, and best practices for stream processing across the company
• Build stateful and stateless streaming applications
• Evaluate, select, and implement new tools and technologies for data processing
• Work with large-scale data and high-load infrastructure
• Influence the technology stack and engineering practices of the Data & AI Platform

Requirements

• Strong Java and/or Scala programming skills
• Hands-on experience building streaming applications with Apache Flink and/or Spark Structured Streaming
• Strong understanding of stream processing principles
• Understanding of stateful and stateless processing and their practical applications
• Good SQL skills and a solid understanding of core data concepts
• Understanding of distributed data processing systems and their architecture
• Ability to make technical decisions independently and navigate complex engineering challenges

Benefits

• The opportunity to work on large-scale products and contribute to their development
• A flexible work environment built on autonomy, ownership, and trust, without micromanagement
• The option to work fully remotely or from a modern office
• Medical insurance coverage in countries where the company operates
• An annual $2,000 benefits allowance after the probation period, which can be used for health insurance upgrades, language learning, and sports activities
• Partial reimbursement for professional training, courses, and participation in industry conferences
• Access to a corporate digital library
• Company-funded weekly online sessions with a psychologist
• Relocation opportunities to countries where the company has offices, with relocation assistance available after the probation period, subject to approval