84.51° is seeking a Data Engineer to develop and maintain its data infrastructure, ensuring the smooth flow of data for analytics and insights projects.
Requirements
Solid experience with SQL and data warehousing concepts.
Strong understanding of ETL processes and tools.
Preferred experience with Snowflake data warehouse platform.
Bonus for experience with dbt or other semantic layer tools.
Proficiency in Python is a plus.
Excellent problem-solving and analytical skills.
Strong attention to detail
Responsibilities
Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
Optimize data ingestion and transformation processes to ensure efficient and scalable data flows.
Develop and maintain data models, schemas, and data dictionaries for efficient data storage and retrieval.
Perform data validation, quality checks, and troubleshooting to identify and resolve data-related issues.
Monitor and optimize database performance, including query tuning and index optimization.
Collaborate with data scientists and analysts to implement data models and support their data requirements.
Stay up-to-date with industry trends and best practices in data engineering, and proactively recommend and implement improvements to our data infrastructure.
Other
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.
Effective communication skills and ability to collaborate with cross-functional teams.
