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описание
Preply is an ed-tech company that operates a global marketplace connecting learners with tutors for language education. The platform leverages human-led and AI-enhanced learning to provide personalized educational experiences to users across 180 countries.
задачи
Design, build, and own the data lake, ensuring clear ownership, schemas, and quality expectations for all datasets;
Develop and operate scalable batch and streaming ingestion pipelines for real-time and analytical use cases;
Define and implement data contracts between producers and consumers, including schema, freshness, and quality guarantees;
Build enrichment logic that standardizes and contextualizes data across domains using shared patterns;
Instrument ingestion pipelines with observability for freshness, latency, data quality, and cost metrics;
Apply consistent access control, classification, and privacy protections at ingestion time;
Contribute to standardized ingestion templates, shared libraries, and platform tooling to enable self-service;
Collaborate with Product, Backend, Analytics, and ML partners to align on requirements and priorities.
требования
Experience driving architectural patterns for large-scale applications, such as high-volume data pipelines;
Solid background in platform or data engineering teams with a track record of leading multi-stakeholder deliveries;
Proficiency with cloud platforms like AWS or GCP and modern DevOps practices;
Hands-on experience designing real-time and batch data processing infrastructures using frameworks like Spark, Flink, Spark streaming, Kafka, or Debezium;
Expertise with orchestration tools such as Airflow or dbt;
Strong problem-solving skills and a proactive mindset;
Advanced English (B2+);
Nice to have: Proven track record in scaling data infrastructures within fast-growing startups, Terraform, Kubernetes, SQL proficiency.
условия
Competitive financial package including equity;
Health insurance and access to mental health support platforms;
Monthly allowance for lessons on Preply.com and a dedicated Learning & Development budget;