Position listed on behalf of a partner company that manages all applications and next steps.
Partner is looking for a Senior Data Infrastructure Engineer based in Hungary.
Responsibilities
Design and manage web scraping infrastructure using residential proxy networks, TLS fingerprinting, browser automation, and session rotation.
Build fault-tolerant, high-throughput scraping pipelines to collect data from Instagram, TikTok, YouTube, X, and other web sources.
Develop distributed queues and workflow orchestration systems using technologies such as Temporal, Ray, Apache Kafka, and Celery.
Architect storage environments for structured and unstructured data using Parquet, Apache Iceberg, Snowflake, and Amazon S3.
Implement monitoring, automated alerts, and recovery mechanisms to identify platform changes, blocking patterns, and proxy failures.
Maintain reliable data ingestion at scale while minimizing downtime and supporting daily processing of millions of records.
Enable downstream AI and analytics workflows through robust, well-structured data infrastructure.
Requirements
At least 4 years of experience in high-volume web scraping, data engineering, or reverse engineering.
Strong experience handling advanced anti-bot systems, including Cloudflare, Akamai, and PerimeterX, using TLS impersonation, browser automation, and proxy management.
Advanced proficiency in Python or Go.
Extensive experience with browser automation and scraping frameworks such as Playwright, Puppeteer, Scrapy, or Selenium.
Practical knowledge of distributed systems and task queues, including Temporal, Ray, Kafka, and Redis.
Strong SQL skills and experience with modern analytical data lakes and data warehouses.
Ability to design scalable, fault-tolerant systems and troubleshoot complex data ingestion challenges.
Conditions
Fully remote work arrangement.
Full-time employment.
Salary, healthcare coverage, paid leave, and additional benefits are not specified in the provided job description.