WHO YOU’LL WORK WITH
As a Senior Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Data Engineering and Business Intelligence initiatives.
A data engineer with 5+ years of experience working with cloud-native platforms.
Advanced skills in SQL, PySpark, Apache Airflow (or similar workflow management tools), Databricks, and Snowflake.
Deep understanding of Spark optimization, Delta Lake, and Medallion architecture.
Strong experience in data modeling and data quality practices.
Experience with Tableau for data validation and monitoring.
Exposure to DevOps practices, CI/CD, Git, and security aspects.
Effective mentorship and team collaboration skills.
Strong communication skills, able to explain technical concepts clearly.
Experience with Kafka or other real-time systems
Preferred:
Familiarity with ML/GenAI integration into pipelines.
Databricks Data Engineer certification.
WHAT YOU’LL WORK ON
Own and optimize large-scale ETL/ELT pipelines and reusable frameworks.
Collaborate with cross-functional teams to translate business requirements into technical solutions.
Guide junior engineers through code reviews and design discussions.
Monitor data quality, availability, and system performance.
Lead CI/CD implementation and improve workflow automation.
משרות נוספות שיכולות לעניין אותך