Data Engineer

Data First

• Design, develop, and maintain scalable and reliable data pipelines using modern data engineering tools and technologies.
• Help drive the re-architecture of our data warehouse to improve performance, scalability, and data quality.
• Implement data cleansing, transformation, and validation processes to ensure data accuracy and consistency.
• Collaborate with other engineers and stakeholders to define data requirements and develop data models.

Data Infrastructure Management

• Build and maintain data infrastructure on GCP, including data lakes, data warehouses, and data pipelines.
• Optimize data storage and retrieval for performance and cost efficiency.
• Monitor data pipeline performance and troubleshoot issues.
• Implement data security and governance best practices.

Machine Learning Support

• Prepare and transform data for machine learning models, ensuring data quality and consistency.
• Enable data access for machine learning algorithms and tools.
• Assist with basic data analysis and reporting tasks to support the AI team.
• Work with the engineering team to support ML models.

Collaboration and Communication

• Work closely with engineers, data scientists, and product managers to understand data needs and deliver solutions.
• Document data pipelines and data models for knowledge sharing and maintainability.
• Communicate effectively with team members and stakeholders.

Team Guidance and Collaboration

• Provide technical guidance and mentorship to the data team.
• Foster a culture of innovation and collaboration within the data team.
• Collaborate with cross-functional teams to integrate ML solutions into the Stord platform.
• Drive data democratization and promote data-driven decision-making.