Big Data Engineer

For Israel-based positions, we encourage working from our Sarona, Tel Aviv office a few days a week, meeting your colleagues, and having a flexible work environment.

Our Mission:

To actively connect people to their next great opportunity.

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects job seekers with millions of businesses of all sizes through innovative mobile app, web, and email services, as well as partnerships with the best job sites on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary of Job

ZipRecruiter is changing the way job seekers get hired and how businesses of all sizes manage their HR. Our R&D center in Tel Aviv offers an empowering, fun and collaborative culture where talented individuals who think like business owners and entrepreneurs are invited to join our growing team.

We use models and algorithms of machine-learning and deep-learning to find candidates for a job, and get the job information to reach the candidate as quickly as possible to allow the employer to reach the best candidates in the least possible time.

We are looking for a passionate Big Data Engineer with expertise in cloud technologies, big data, and distributed systems to join our product teams. This exciting role requires the experience and skills to design and build key components and infrastructure for our data science and engineering team.

Key focuses:

• Build infrastructure to empower fellow engineers and data scientists to build together best-in-class machine learning based products
• Working in a high-volume production environment that gets bigger and bigger
• Mastering scalability and enterprise-grade production services implementation
• Sense of ownership - leading design for new products and initiatives as well as integrating with currently implemented best-practices
• Working with a number of modern technologies including Spark, Delta Lake, Elasticsearch, Kafka, DynamoDB, K8s, and more
• Collaborating and working as part of a highly skilled team that enjoys doing the impossible together every day

Minimum Requirements:

• 5+ years of coding experience with one of the following: Python, Scala
• Experience in development, maintenance, and monitoring of data applications
• Dealing with data on high volume, high availability production systems
• Experience with Spark
• Fluent with SQL

Preferred Qualifications: 

• Experience with one or more of these technologies: Flink, MapReduce, Airflow, Kafka, Key/Value Stores like DynamoDB, SQL DB's
• Experience working with a cloud provider (AWS / Azure / GCP)
• End-to-end experience - owning features from an idea stage, through design, architecture, coding, integration, and deployment stages
• Experience in algorithm design and implementation or Machine learning
• Bachelor's degree or higher in Computer Science or equivalent professional Software Engineering experience