Description
We’re looking for a talented, experienced, and quality-driven Senior BI Developer to join our growing team and help shape the foundation of our data platform.
This position is a key role within Global-e’s Data Department, which supports critical business decisions and manages complex processes. You will help power a global cross-border e-commerce platform handling millions of transactions and enabling data-driven decisions.
Roles & Responsibilities:
- Design, build, and maintain scalable BI dashboards and reports using internal cutting edge AI \ LLM solution .
- Design, build, and maintain scalable ELT pipelines to ingest, transform, and load data from diverse sources into the data warehouse.
- Develop and maintain data models using dbt for transformation and Rivery\Qlik Replicate for ingestion , ensuring data quality, consistency, and documentation.
- Build and manage data infrastructure in Snowflake, including schemas, roles, access control, and performance optimization.
- Collaborate with analysts, data scientists, and business stakeholders to deliver reliable, well-structured data products supporting BI and ML workloads.
- Write clean, maintainable Python scripts for data processing, orchestration, and automation.
- Monitor pipeline health, troubleshoot issues, and drive continuous improvements to reliability and performance.
- Define and enforce data engineering best practices — including testing, CI/CD, versioning, and documentation.
Requirements
- 5+ years of experience in BI Development or a closely related role.
- Experience with BI tools such as Tableau, Looker, Power BI, or QlikSense.
- Hands-on experience with Snowflake or an equivalent cloud data warehouse (BigQuery, RedshELTift, Databricks).
- Proficiency with ELT frameworks and patterns; experience with dbt or Rivery strongly preferred.
- Strong SQL skills — complex queries, performance optimization, and large-scale datasets.
- Experience designing and maintaining data models (dimensional, OBT, or similar) for analytical workloads.
- Experience with leverage AI capabilities (e.g., LLMs or predictive models) to enhance analytics, such as generating automated insights, natural language querying, anomaly detection, semantic models design & development
- Familiarity with orchestration tools such as Apache Airflow or equivalent.
- Strong understanding of data quality, testing practices, and observability.
- Ability to work independently and collaborate effectively in a cross-functional environment.
- Solid Python programming skills for pipeline scripting, API ingestion, and data validation (Advantage)
- Exposure to ML engineering or feature store concepts (Advantage).
