Senior Data Engineer

Job Description

Later is seeking a Senior Data Engineer to play a crucial role in building and optimizing its data warehouse. The Senior Data Engineer will have the opportunity to shape the company's data infrastructure and support its rapid growth. This role involves designing, implementing, and maintaining robust data pipelines and architectures that facilitate efficient data processing and real-time analytics. The Senior Data Engineer will collaborate with engineers, data partners, and stakeholders, leveraging cloud technologies to develop impactful data solutions that transform raw data into actionable insights.Responsibilities include:

• Designing and building a robust data warehouse architecture.
• Designing, building, and maintaining scalable data pipelines for both batch and real-time processing.
• Developing reliable transformation layers and data pipelines using tools like DBT.
• Establishing optimized data architectures using cloud technologies.
• Implementing both batch and streaming data processing systems.
• Enforcing data quality checks and governance practices.
• Collaborating with data scientists, product managers, and business stakeholders.
• Analyzing and optimizing data pipelines for performance and cost-effectiveness.

Requirements:

• Minimum of 5 years in data engineering or related fields.
• Strong focus on building data infrastructure and pipelines.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• Advanced degree preferred.

Later offers:

• Opportunity to work alongside experts in social commerce.
• Chance to tackle complex challenges, from AI-powered content recommendations to systems processing billions of posts daily.
• A market-based and data-driven approach to compensation.
• Participation in various benefits plans.