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Data Engineer

Similarweb provides digital intelligence solutions that reveal online behavior and analytics to help businesses make strategic decisions.
Data
Mid-Level Software Engineer
Hybrid
1,000 - 5,000 Employees
4+ years of experience
Enterprise SaaS

Description For Data Engineer

Similarweb, a leading digital intelligence company listed on the NYSE, is seeking a Data Engineer to join their team in Tel Aviv. The company serves over 4,300 global customers, including industry giants like Google, eBay, and Adidas, by providing crucial insights into online behavior and digital strategies.

The role focuses on designing and implementing complex, high-scale systems that retrieve, process, and analyze data from the digital world. As a Data Engineer, you'll be responsible for developing and maintaining backend infrastructure, creating robust data pipelines, and ensuring the seamless operation of data-driven products and services.

The ideal candidate should have at least 4 years of experience in server-side software development, with expertise in languages like Python, Java, or Scala. Strong knowledge of Big Data technologies (Hadoop, Spark, Databricks) and cloud environments (AWS/GCP) is essential. The role requires excellent problem-solving abilities and strong communication skills to work effectively with cross-functional teams.

Working at Similarweb offers unique advantages: you'll be part of a company that's revolutionizing how businesses understand and interact with the digital world. The position offers a hybrid working model, providing flexibility while maintaining collaborative opportunities. You'll work alongside talented engineers in a dynamic, innovative environment that encourages growth and learning.

The company's recent IPO and continued growth trajectory make this an exciting time to join. You'll have the opportunity to work on challenging technical problems at scale, implementing solutions that directly impact how global businesses make strategic decisions. The role combines technical expertise with business impact, making it ideal for engineers who want to see their work make a real difference in the digital intelligence space.

Last updated a day ago

Responsibilities For Data Engineer

  • Design and build high-scale systems and services to support data infrastructure and production systems
  • Develop and maintain data processing pipelines using technologies such as PySpark, Hadoop, and Databricks
  • Implement dockerized high-performance microservices and manage their deployment
  • Monitor and debug backend systems and data pipelines
  • Work collaboratively with data scientists, analysts, and other engineers
  • Ensure data is ingested correctly from various sources and processed efficiently

Requirements For Data Engineer

Python
Java
Scala
Kubernetes
  • BSc degree in Computer Science or equivalent practical experience
  • At least 4+ years of server-side software development experience
  • Experience with Big Data technologies like Hadoop, Spark, Databricks, and Airflow
  • Familiarity with cloud environments such as AWS or GCP
  • Experience with Docker and Kubernetes
  • Strong problem-solving skills
  • Excellent communication skills

Benefits For Data Engineer

  • Hybrid working model with flexibility
  • Opportunity to work in a dynamic and innovative environment
  • Collaboration with talented and independent engineers

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