Experienced Data Engineer

Israel Central · Full-time · Senior
About The Position

Belong is bringing the power of AI, data and communities to patient engagement and healthcare.

We deliver trusted GenAI patient engagement solutions that enhance the efficiency of healthcare organizations and elevate patient care.

Our mission is to improve the quality of life and care for patients worldwide through technology, engagement, data, and AI.

Visit our website for more information at: https://belong.life .

Our offices are near Airport City (near Yehud).

We're looking for a talented and experienced Data Engineer to Join the team.

The team is responsible for the entire data activities in the company from raw to insight, and to provide the best experience for our users.

We are working in an extremely fast-paced environment, constantly improving and optimizing experience and performance in a data-driven manner, to hit company business goals.

Requirements
Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline
Experience in building or maintaining ETL processes.
At least 2 years Hands-on experience with MySQL/MariaDB/Postgres.
Experience with Python, SQL, and data visualization/exploration tools.
Familiarity with the AWS ecosystem.
Working with docker technology
Ability to work with a dynamic team that handles multiple projects.
Strong communication skills
Experience with Tableau – advantage.

Responsibilities
Install and configure database management systems (DBMS) and monitor their performance.
Plan and execute database backups, restoration, and recovery strategies to ensure data continuity.
Optimize database performance by tuning queries, indexes, and system configurations.
Working with cutting edge technologies such as Airbyte, Airflow, Clickhouse, Tableau, Grafana etc.
Collaborate with development teams to design database schemas that support application requirements.
Design and develop data models, ETL (Extract, Transform, Load) processes, and data pipelines to transform raw data into meaningful insights.
Provide technical support and training to end-users on using BI tools and accessing data.