4 дня назад
Staff Software Engineer - DSM Team (Java)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Software Engineer - DSM Team (Java) (Data Solutions & Measurement): Designing, scaling, and maintaining backend systems that process large volumes of data with an accent on event-driven architecture, API integrations, and performance-sensitive workflows. Focus on building high-throughput, low-latency production systems, migrating toward scalable domain-based architecture, and solving complex problems across engineering and data science teams.
Location: Remote, Germany
Company
is a research technology company operating a large programmatic marketplace that connects customers with respondents for market research, business strategy, and digital advertising measurement.
What you will do
- Design, implement, scale, and maintain backend systems that process large volumes of data.
- Build event-driven and REST API-based integrations.
- Contribute to migration toward a scalable, domain-based architecture.
- Develop and optimize software for performance-sensitive, high-throughput workflows.
- Investigate complex technical problems and propose solutions with engineering and data science colleagues.
- Influence junior and mid-level engineers while delivering independently across the Outcomes, Methodology, and Recruitment teams.
Requirements
- 10+ years of backend software engineering experience with strong technical depth.
- Strong Java skills or willingness to transition from another language such as Python, Scala, C/C++, Haskell, Elixir, Go, or Ruby.
- Solid understanding of algorithms, data structures, Big O notation, and event-driven architecture.
- Experience with large-scale data processing technologies such as Spark, Apache ecosystem tools, Delta Lake, Parquet, and Kafka.
- Experience with Python or PySpark, Docker, SQL, NoSQL databases, REST APIs, and complex real-time systems.
- Strong problem-solving, communication, and collaborative engineering skills; a computer science or related degree is preferred.
Nice to have
- Experience with AWS, GCP, or other cloud providers.
- Experience with Pandas, Spring, microservices, or large-scale data and analytics environments.
Culture & Benefits
- Collaborative development model with shared ownership of work.
- Autonomy and freedom to innovate on production systems and research technology.
- International environment with teams working across borders.
- Culture focused on innovation, accountability, openness, inclusion, and continuous learning.
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