Rapyd Data Engineer Team Lead 

Israel 

742080283

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You will be responsible for the entire journey of data, from its origin to being ready for analysis.

This includes:

• Design, develop, and implement robust data pipelines using ETL/ELT tools to efficiently move data from various sources to our DWH.
• Ensure the quality and integrity of data throughout the pipeline by implementing data cleaning, transformation, and validation techniques.
• Collaborate with stakeholders across the organization, including BI developers, data analysts, to understand their data needs and translate them into technical specifications.
• Build and maintain the infrastructure for our data platform, ensuring scalability, security, and performance.
• Develop and implement processes and tools to monitor data quality and identify potential issues.
• Document data pipelines and processes for clear communication and future maintenance.
• Our DE team is responsible for managing several production pipelines that are feeding customer-facing systems.

• 4+ years of experience working as a Data Engineer and at least 2 years in a data-rich environment
• Proven leadership and management skills( at least 2 years), including experience in leading and motivating a team of data engineers, setting clear technical goals and roadmap, and facilitating collaboration.
• Hands-on experience in developing end-to-end ETL/ELT processes – must
• Experience with big data and ETL & orchestration tools: Spark, Kafka, Apache Airflow etc.- must
• Excellent SQL skills, including complex SQL queries and procedures
• In-depth knowledge of Python
• Experience with dimensional data modeling & schema design in Data Warehouses
• Strong orientation in GCP environments – big advantage
• Bachelor’s degree in Engineering, Computer Science, Math, or other numerate/analytical degree equivalent
• Strong communication skills and excellent English are a must