Data Engineer

Must haves

• 4+ years of experience in data engineering, with a track record of designing and managing complex data systems.

• Ability to facilitate and gather business requirements and come up with scalable engineering solutions

• Strong experience with Python

• Experience with IaC

• Strong experience with SQL and NoSQL databases.

• Experience with data modeling, ELT processes, and data warehousing.

• Understanding of data security and user data privacy regulations

• Experience with cloud computing solutions such as AWS, Azure, or GCP.

• Experience with cloud data solutions such Snowflake, Databricks, or Big Query

• Familiarity with data visualization tools (e.g. Power BI, Tableau, Looker)

Nice to haves

• Prior startup experience

• Experience with Terraform (IaC)

• Strong understanding of data governance and security best practices.

• Experience with data transformation tools like dbt

• Experience with data loading tools like Fivetran and HevoData

• Experience with data orchestration tools like Airflow

• Experience solving insurance industry / domain related challenges

• Experience building and deploying LLM applications

• Strong background in time series forecasting, NLP, and predictive modeling.

• Degree in a science or engineering discipline

• Strong experience with data analytics, statistics, and data science concepts.