This job might no longer be available.

Data Engineer Tech Lead

Description

Playtika Holding Corp. is a leader in interactive entertainment delivering personalized immersive experiences to millions of loyal players across a diverse portfolio of games. 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 more than 3,500 employees in offices worldwide including Ramat-Gan, Berlin, Vienna, Helsinki, Chicago, Las Vegas, Newport Beach, Sydney, Kyiv, Bucharest, Minsk, Dnepr, and Vinnytsia.

The mobile gaming industry is competitive and certain roles require a great deal of technical expertise. Playtika is recruiting for a limited number of roles requiring unique skills and experience.

We are looking for an experienced Python Data Engineer Tech Lead to work with the technology division in Herzellia office!

If you are interested in working with talented and passionate teammates and becoming a driving force for the evolution of Big Data and Machine Learning systems, providing business deep analytics and player behavior predictions then Playtika Herzellia will be the right fit for you.

You will work with many exciting technologies like Apache Spark, Spark Streaming, Kafka, Hadoop, Vertica, Alluxio, Pure, Iceberg, Aerospike, Airflow, Datahub, and Kubernetes to name a few.

Responsibilities

• Tech-lead a team of skilled data SW engineers
• Training, mentoring, and hiring new data engineers
• Enhances the professionalism of the team
• Builds work processes in their professional domain
• Involved in planning phases
• Collaborating with our architects, product owners, data scientists, QA and Data infrastructure
• Promote best practices coding, code complete standards, and design patterns.
• Be part of the global team building data platform to support gaming tenants.
• Build and deploy scalable and reliable data processing pipelines to move and aggregate large amounts of data.
• Monitor and Maintain production level applications
• Tune and optimize data applications architecture to reach real-time capabilities
• Makes major decisions in their domain and sets standards
• Coordinate technical issues/decisions in his domain and communicate it to other Domains
• Impacts the growth of the business and organizational KPIs

Requirements

• BSc. in computer science / software engineering
• At least 2 years' experience as data engineering tech or team leader
• Practicing modern SW development processes (SCRUM, Clean code, Unit tests, source control, TDD, CI-CD, deployment automation)
• Passion for data engineering, quality, automation and efficiency, self-starter, loves challenges, independent and a tech savvy;
• Proficient in Python with +3 years of experience in writing Spark-based batch, streaming data applications (Streaming\Structured Streaming\Spark SQL), micro services and ETLs;
• Understand data concept such as Freshness, Observability, Wrangling, and Linage
• English (both spoken & written).

Advantages for:

• Advanced knowledge in parallel processing algorithms and techniques.
• Knowledge in advanced Bigdata topics and distributed computing.
• Knowledge in K8s, Docker, Delta Lake/Iceberg, Data Mesh, Aerospike, Airflow, Vertica
• Familiarity with data warehousing concepts and systems.
• Knowledge in Java development and best practice

A word from the manager

Your Experience & Skills

What will you be doing?