Data Engineer

A data-focused startup developing a cloud-based platform that enables marketing and sales professionals worldwide to share business information and gain insights about their target customers.

The platform also recommends relevant prospects, helping users save time on research and focus on actual selling.

Founded a decade ago, the company has raised $205M in a Series B round at a $1.5B valuation and is now a unicorn.

Headquartered in Tel Aviv (near the light rail), operating in a hybrid model with two remote workdays. The company employs 300 people, with offices in Tel Aviv and the U.S.

The role includes:

• Being part of a collaborative team
• Backend development in Python
• Hands-on work with Spark and Airflow (required)
• Tech stack: Python, Spark, Airflow, Kafka, Athena, Elasticsearch, NoSQL Databases, Kubernetes, Docker.

Qualifications

• 2 years experience in designing and implementing server-side Data solutions.
• 3 years programming experience, preferably in Python and SQL.
• Experience implementing algorithmic solutions, data mining, and analytical methodologies.
• Able to use orchestration frameworks such as Airflow, Kubernetes, and Docker Swarm.
• Experience with Data Lake, Spark - Advantage.
• Familiarity with AWS ecosystem - Advantage.
• Familiarity with the following tools: Kafka, DataBricks, Jenkins - advantage.
• Experience working with various database engines (relational, document storage, key-value, time series) - ElasticSearch, Redis, Postgres, MySQL