18 часов назад
Senior Backend Engineer (Data Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Backend Engineer (Data Platform) (Distributed ETL and Data Pipelines): Building and scaling backend microservices that orchestrate high-throughput batch and real-time data transformations with an accent on distributed architecture, performance, and observability. Focus on optimizing ETL execution, designing data-intensive systems, and managing scalable cloud infrastructure.
Location: Ramat Gan, Israel; the role is also described as fully remote.
Company
provides a location analytics platform that helps organizations understand physical locations, markets, and consumer behavior while maintaining privacy-focused data practices.
What you will do
- Own backend microservices from architecture and API design through deployment, observability, and performance tuning.
- Architect and optimize distributed ETL infrastructure for high throughput and sub-second reliability.
- Build, orchestrate, and scale batch and real-time data pipelines for analytics, exports, and UI integrations.
- Collaborate with Product, Data Science, Analytics, and R&D teams on complex data movement and backend integration requirements.
- Improve engineering quality through design reviews, code reviews, architecture discussions, and technical mentorship.
Requirements
- 5+ years of backend engineering experience with distributed microservices.
- Experience designing data-intensive systems and high-throughput batch or real-time pipelines.
- Strong knowledge of relational and analytical databases, including Postgres, Databricks, and Snowflake, with experience optimizing queries and storage at scale.
- Strong foundations in system design, data structures, API design, automated testing, and production observability.
- Excellent proficiency with AWS or GCP and Terraform.
- BSc in Computer Science or equivalent practical experience, plus demonstrated use of generative AI tools for productivity.
Nice to have
- Strong Python experience building modular microservice APIs, asynchronous tasks, and testable data-processing packages.
- Hands-on PySpark experience with multi-terabyte batch and streaming workloads, including execution-plan, memory, data-skew, and shuffle optimization.
Culture & Benefits
- Fully remote work.
- Competitive salary and excellent benefits.
- Opportunity to work in a rapidly growing location analytics company and take a central role in a new market.
- Access to experienced engineering and cross-functional talent.
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