Java Data Developer (Digital Marketing sphere)

The project focuses on a core data platform that processes large volumes of user and device data and provides it to analytics, advertising, and real-time systems. The team is modernizing the existing batch-processing solution by building a new streaming-based architecture designed for faster, more scalable, and reliable data processing.

Responsibilities

Own the end-to-end development lifecycle, from solution design and implementation to production deployment and support; Design and implement scalable big data solutions using Java, contributing to the platform’s infrastructure and architecture; Lead complex technical initiatives that directly impact the company’s core business; Mentor other developers and support them in solving complex technical challenges; Research and evaluate core technologies, external APIs, and third-party service integrations; Collaborate with Product, Engineering, data providers, and other stakeholders to deliver reliable solutions

Requirements

5+ years of commercial software development experience with Java; Strong knowledge of algorithms and data structures; Hands-on experience with Kafka, streaming systems, and microservices; Production experience with big data technologies; Experience with SQL databases; Experience designing, developing, and scaling high-load systems; Ability and willingness to investigate and work with an existing legacy codebase; Strong analytical and troubleshooting skills, with the ability to investigate production issues and understand both technical components and related business processes; Proactive and reliable approach to solving problems, proposing improvements, and introducing new technical solutions; Strong communication and collaboration skills, with a team-oriented and ego-free mindset; English level: B1 or higher, with the ability to communicate clearly in meetings; Willingness to participate in an off-hours PagerDuty rotation

Nice to have

Experience with Apache Spark, Hadoop, or MapReduce; Experience with Kubernetes; Familiarity with GitLab, Grafana, InfluxDB, Apache Airflow, Redis, or Scala

Benefits

Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days