Highly Scalable Data Engineer

3 days ago

Herẕliyya, Israel beBeeBackendDeveloper Full time ₪80,000 - ₪120,000

We're building a cutting-edge platform that crunches massive amounts of user data, serving insights and communicating on a large scale.

The Audiences team is responsible for developing and maintaining industry-leading segmentation solutions, enabling customers to define, manage, and activate dynamic user segments across multiple advertising platforms.

We handle complex data pipelines, real-time audience updates, and seamless integrations with major media partners. We're also working on predictive audience capabilities using AI to help our customers target the right users before they take action. Our work plays a critical role in driving user acquisition, engagement, and retention strategies for some of the world's largest brands.

As part of the Audiences team, you'll work on highly scalable systems, tackle real-time challenges, and contribute to a platform that directly impacts the success of our customers' campaigns.

What You Will Do
  • Solve diverse, complex problems at a large scale
  • Collaborate with Product Managers, data scientists, and Software Engineers to deliver innovative, user-facing products.
  • Own a feature from scratch to production, taking it from cradle to grave
  • Analyze and improve performance, scalability, and stability of our products, environments, and tools
  • Continuously learn and evaluate new technologies to perfect our products and adapt to the ever-growing scale
What We Are Looking For
  • 5+ years of development experience with a passion for excellence
  • Experience in data engineering with a focus on Apache Spark.
  • Experience in server-side engineering.
  • Experience in programming languages such as Scala, Go.
  • B.Sc. in computer science or an equivalent
  • Excellent collaboration and teamwork skills
  • A proactive, problem-solving mindset with a passion for learning and tackling new challenges
Bonus Points
  • Experience with data orchestration tools like Airflow.
  • Familiarity with AWS services such as SQS, EMR, RDS, S3
  • Strong understanding of big data and microservices architecture

We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners. As a global company operating from 25 offices across 19 countries, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We believe in being employee-obsessed and providing our team with the tools and resources needed to succeed.

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