Data Engineer

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. Benefits: 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.