Description:

Seeking a Data Engineer to design, build, and maintain data infrastructure for analytics and ML models.
Responsible for building scalable data pipelines and ensuring data quality and accessibility across the organization.

Requirements:

Proficiency in Python and SQL for data engineering tasks.
Strong understanding of ETL/ELT processes, data warehousing, and data modeling.
Hands-on experience with cloud platforms (AWS, GCP, Azure) and data storage solutions (BigQuery, Redshift, Snowflake).
Familiarity with data orchestration tools (Airflow, Airbyte).
Experience with containerization & deployment tools (Docker, Kubernetes) is a plus.
Knowledge of data governance, security, and best practices for handling sensitive data.
Strong skills in eliciting requirements from cross-functional stakeholders.
Dataform experience is a must.

Work directly with senior Finance leadership and gain broad exposure across accounting, audit, and financial operations.
Join a culture that values ownership, speed, and constant improvement.

Experience level

Skills