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Data Engineer
2 years ago
Description
Playtika (NASDAQ: PLTK) is a mobile gaming entertainment and technology market leader with a portfolio of multiple game titles.
Founded in 2010, Playtika was among the first to offer free-to-play social games on social networks and, shortly after, on mobile platforms.
Headquartered in Herzliya, Israel, and guided by a mission to entertain the world through infinite ways to play, Playtika has offices worldwide and over 4,000 employees.
We are looking for a Data Engineer to work with complex Machine Learning Infrastructure!
If you are interested in working with talented and passionate teammates and becoming a driving force for the evolution of Machine Learning systems, then Playtika Warsaw will be the right fit for you.
You will work with many exciting technologies like Spark, Spring Boot, Kafka, S3/Alluxio, Aerospike/Redis, Docker/Kubernetes, Vertica/SingleStore and different DS frameworks (Pandas, PyTorch etc.) to name a few.
Responsibilities
- Be part of the global team building Machine Leraning Platform (Feature Store, Experimental Platform, Model Registry, ML Pipelines Engine and more) to support gaming tenants.
- Design, build and deploy scalable and reliable Machine Leraning Platform to be extensively and easily used by internal projects.
- Develop internal products, frameworks and infrastructures.
- Promote best practices coding, code complete standards, and design patterns.
Requirements
- Passion for data engineering, quality, automation and efficiency, self-starter, loves challenges, independent and a tech savvy;
- Proficient in Java/Scala/Python (better any 2) with +3 years of experience in writing Micro-services, BigData batch/streaming processing (Spark or other) or Enterprise applications.
- Experience with Databases/storages (SQL, NoSQL, Columnar, InMemory and others)
- Experience with containerization (Docker) and container orchestration (Kubernetes)
- Experience with current SW development best practices (Scrum, Unit tests, Source control, CI/CD etc.).
- English (both spoken & written).
- Must be a quick and capable learner.
ADVANTAGES FOR:
- Ability to freely develop on any of Java/Scala/Python (all 3)
- Knowledge in advanced BigData topics, micro-services design and distributed computing.
- Knowledge in K8s, Docker, DeltaLake/Iceberg, ServiceMesh, Aerospike/Redis, AirFlow, SingleStore
- Familiarity with Data Science domain and algorithms.
WE OFFER:
- Competitive salary, performance-based bonuses and flexible working hours;
- Social package, including gym membership compensation, medical insurance with dental coverage;
- Paid vacation and sick leaves;
- Training programs, certifications, conferences including international events;
- Referral program;
- Corporate celebrations, team buildings, and fun activities;
- Free meals twice a day, refreshments, happy hours;
- Technical library with option to order books;
- Coaching and reviews to support your career development;
- Working for one of the top social gaming companies in the world.
Come play with us!
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