Fireblocks Data Engineer Lead 

Israel, Tel Aviv District, Tel Aviv-Yafo 

398219722

What you’ll do

• Lead the design, implementation, optimization, and monitoring of ELT processes, data pipelines, and data lake solutions.
• Lead and mentor a team of data engineers, providing guidance, feedback, and professional development opportunities.
• Continuously explore and implement methods to improve and ensure data quality, reliability, and availability across all data platforms.
• Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
• Optimize and troubleshoot existing data pipelines and systems to improve performance and efficiency.
• Implement and enforce best practices for data management, security, and governance.
• Stay current with emerging trends and technologies in data engineering and make recommendations for their adoption.
• Explore and implement AI-driven solutions to enhance data processing, analysis, and predictive modeling.
• Manage project timelines, resources, and deliverables to ensure successful project outcomes.

What you’ll bring

• 5+ years of experience in data engineering and ETL/ELT development within a DWH environment, with at least 2 years in a leadership or team lead role.
• Strong expertise in SQL and experience with relational databases such as PostgreSQL, MySQL, or similar.
• Proficiency with DBT, strong data modeling skills, and an excellent understanding of DWH architecture and methodology.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud, and their data services.
• Solid understanding of ETL/ELT processes and data pipeline orchestration tools (e.g., Airflow, Luigi).
• Strong problem-solving and analytical abilities.
• Experience working in an agile development environment.

Bonus Skills:

• Experience with Airflow, Python, Docker, and Git. Deep understanding of MySQL/RDS replication and Change Data Capture (CDC) methods.
• Experience with Kubernetes.
• Experience with Datadog or other enterprise monitoring systems.
• Proficiency with data visualization tools such as Tableau.
• Familiarity with AI and machine learning frameworks, and experience integrating AI solutions into data workflows.