We’re looking for an experienced Data Engineer to join our DataWarehouse team in TLV.
In this role, you will play a pivotal role in the Data Platform organization, leading the design, development, and maintenance of our data warehouse. In your day-to-day, you’ll work on data models and Backend BI solutions that empower stakeholders across the company and contribute to informed decision-making processes all while leveraging your extensive experience in business intelligence.
This is an excellent opportunity to be part of establishing Lemonade’s state-of-the-art data stack, implementing cutting-edge technologies in a cloud environment.
In this role you’ll
- Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements
- Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs
- Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the semantic layer
- Develop processes to enforce schema evaluation, cover anomaly detection, and monitor data completeness and freshness
- Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency
- Implement best practices for data warehouse and database performance tuning
- Conduct thorough testing of data applications and implement robust validation processes
- Collaborate with Data Infra Engineers, Developers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers
What you’ll need
- 3+ years of experience as a BI Engineer or Data Engineer
- Proficiency in data modeling, ELT development, and DWH methodologies
- SQL expertise and experience working with Snowflake or similar technologies
- Prior experience working with DBT or similar tools, an advantage
- Experience with Python and software development, an advantage
- Excellent communication and collaboration skills
- Ability to work in an office environment a minimum of 3 days a week