Data Engineer
Role Overview
As a Senior Data Engineer on the Data Warehouse team, you will design, develop, and maintain scalable data solutions that support company-wide decision-making. Your day-to-day responsibilities will include implementing ETL processes, optimizing data retrieval, and collaborating with cross-functional teams to enhance the data platform. Your expertise will directly impact the efficiency and effectiveness of data-driven initiatives at Lemonade.
Perks & Benefits
This remote position offers the flexibility to work from anywhere while providing opportunities for career growth within a dynamic tech environment. Lemonade emphasizes collaboration, with a minimum office presence of three days a week, fostering a strong team culture. Expect to engage with cutting-edge technologies in a supportive atmosphere that values innovation and professional development.
Full Job Description
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
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
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