Data Engineer

A startup company in the Data field develops a cloud-based platform that enables marketing and sales professionals worldwide to share business information and gain insights into their target customers. The platform also recommends potential customers and organizations relevant to sales teams, streamlining the process of gathering business information, and allowing them to focus on the actual sales process.

The company is located in Tel Aviv (train-accessible) and operates a hybrid work model with two work-from-home days. They have 300 employees, offices in Tel Aviv, and an additional office in Boston.

The company recently raised $205 million in a Series B funding round at a valuation of $1.5 billion, achieving unicorn status.

Role Overview-

You will be part of a team developing in Python. Experience with Spark and Airflow is mandatory.

Tech Stack-

NoSQL Databases, Spark, Kafka, Athena, Elasticsearch, Airflow, Kubernetes, and Docker.

Requirements-

• 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 working with various database engines (relational, document storage, key-value, time series) - ElasticSearch, Redis, Postgres, MySQL