Description:

Seeking a data-driven problem solver with strong ownership and autonomy in fast-paced environments.
Role involves building scalable solutions and translating technical concepts into business value.

Requirements:

5+ years of experience in Data Science, with 3+ years in Spark framework.
Strong SQL and Python skills, with experience in building ETL/ELT at scale.
Deep understanding of algorithm performance tuning, query optimization, and warehouse orchestration.
Experience with data pipeline orchestration (Airflow, Prefect, dbt, etc.).
Proficiency in Kafka, GCP, or AWS for data ingestion.
Familiarity with API-based data integration and microservice architectures.
Preferred: Experience leading machine learning teams or deploying ML feature pipelines.

Comprehensive benefits program including medical, dental, and vision coverage.
Paid time off (PTO) and personalized career roadmap for professional development.

Skills

Benefits