Senior Data Engineer

About the role

The Senior Data Engineer will be responsible for designing and maintaining the core data platform, ensuring high operational efficiency and quality of datasets.

Responsibilities

• Create and maintain Data Platform pipelines.
• Create Conceptual, Logical, and Physical data models.
• Design table structures using DBT and define data pipelines to build performant, reliable, and scalable data solutions in a fast-growing data ecosystem.
• Collaborate with other data engineers, data scientists, and cross-functional teams.
• Ensure high operational efficiency and quality of the Core Data Platform datasets to ensure our solutions meet SLAs.
• Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements.
• Maintain detailed documentation of your work and changes to support data quality and data governance requirements.

Qualifications

• 5+ years of data engineering experience developing data pipelines.
• Strong understanding of data modeling principles, including Dimensional modeling and data normalization principles.
• Proficiency in at least one major programming language (eg, Python).
• Expert SQL skills and ability to create queries to analyze complex datasets.
• Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
• Experience with Snowflake.
• Strong algorithmic problem-solving expertise.
• Comfortable working in a fast-paced and highly collaborative environment.