Senior Data Engineer

Key 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.
• Fluency with data engineering concepts and platforms (AWS: S3, Lambda, SNS, SQS...; Iceberg), data platforms (Snowflake), governance (data contracts), transformation and orchestration (dbt, Airflow).
• Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
• Collaborate with product managers, architects, and other engineers to drive the success of the Core Data Platform
• Document standards and best practices for pipeline configurations, naming conventions, etc.
• 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 (e.g., 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.
• Excellent written and verbal communication.
• Advance understanding of OLTP vs OLAP environments.
• Willingness and ability to learn and pick up new skill sets.
• Self-starting problem solver with an eye for detail and excellent analytical and communication skills.
• Familiar with Scrum and Agile methodologies.
• Bachelor’s degree in computer science, Information Systems, or equivalent industry experience.