Data Engineer
PerionUkraine2 days ago
Full-timeInformation Technology
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Perion is a global advertising technology company delivering solutions to the biggest brands and publishers around the globe across search, social media and display, video, CTV, and programmatic DOOH.
Home to an award-winning technology solution –– with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We're working with dozens of sources to provide a superior experience across screens and platforms, including mobile, video, social and native.
Your Responsibilities
Home to an award-winning technology solution –– with our unique data-driven AI/ML based technologies, we deliver and optimize hundreds of terabytes of data and billions of events per day. We're working with dozens of sources to provide a superior experience across screens and platforms, including mobile, video, social and native.
Your Responsibilities
- Design, build, and deploy production-grade backend data solutions, from initial research and architecture through development, testing, and release.
- Collaborate closely with Data Engineers, Data Scientists, Product Managers, Architects, and other R&D teams to deliver high-impact, business-driven solutions.
- Own data pipelines and platforms in production, ensuring high availability, scalability, performance, and reliability.
- Monitor, troubleshoot, and optimize data workflows and systems in live environments.
- Partner with Data Science teams to support advanced analytics, modeling, and experimentation.
- 3+ years of hands-on experience building and operating Big Data solutions in production environments.
- Strong experience with Big Data frameworks such as Apache Spark and/or Apache Flink.
- Proven ability to write complex, efficient SQL queries.
- Production-level experience developing Spark applications using Scala or Java.
- Strong analytical thinking and problem-solving skills, with high attention to detail.
- Fluent spoken and written English.
- Experience with Apache Airflow and AWS services (EMR, Glue, Athena).
- Solid knowledge of Python and Linux environments.
- Experience working with ClickHouse.
- Familiarity with the Ad Tech ecosystem, including RTB (Real-Time Bidding).
- Experience with functional programming, unit testing / TDD, and CI/CD pipelines.
- Familiarity with Node.js.
- The opportunity to work with massive-scale data systems processing billions of events daily.
- A key role in shaping data-driven products used by top global brands and publishers.
- Collaboration with highly skilled engineers, data scientists, and product leaders.
- A dynamic, innovative, and fast-growing global tech environment.
- Professional growth through challenging projects, modern technologies, and continuous learning.
- Competitive compensation and benefits package.
Key Skills
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