Senior Data Engineer

- Comfortable working in Git-based environments with strong CI/CD practices - Deep experience with SQL and Python for data transformation and automation - Demonstrated ability to mentor, coach, and collaborate across a multidisciplinary data team - Familiarity with open data formats and scalable data lakehouse principles (e.g., Iceberg or similar) - Experience building and operating workflow orchestration tools such as Airflow - Hands-on experience with modern data stack tools such as dbt, Airbyte, Fivetran, and Snowflake - Ability to communicate technical concepts effectively to both technical and non-technical audiences - Strong understanding of cloud technologies, particularly AWS (e.g., S3, Lambda, EC2, IAM) - 8+ years in data engineering, architecture, or related technical roles working with large-scale data systems - Knowledge of observability and monitoring frameworks to support data platform health and alerting

Join our team as a Senior Data Engineer, where you will play a crucial role in shaping the design of scalable and performant data systems. You will collaborate with cross-functional teams to deliver reliable data pipelines for analytics, reporting, and data science use cases. Your expertise in modern tools and cloud technologies will be essential in optimizing our data infrastructure and ensuring its performance, cost-effectiveness, and reliability. Additionally, you will have the opportunity to mentor and coach other engineers and analytics professionals,…