Senior Data Engineer
@ Later

As a Senior Data Engineer at Later, you will play a crucial role in building and optimizing our data warehouse, providing a tremendous opportunity to shape our data infrastructure and support our rapid growth.

You will design, implement, and maintain robust data pipelines and architectures that facilitate efficient data processing and real-time analytics. Collaborating with engineers, data partners, and stakeholders, you will leverage cloud technologies in developing impactful data solutions that transform raw data into actionable insights.

Data Warehouse Development: Design and build a robust data warehouse architecture.

Data Pipeline Development: Design, build, and maintain scalable data pipelines for both batch and real-time processing, ensuring high availability and reliability.

Transformation Layer: Develop reliable transformation layers and data pipelines from ambiguous business processes using tools like DBT.

Data Architecture & Streaming: Establish optimized data architectures using cloud technologies, and implement both batch and streaming data processing systems.

Data Quality & Governance: Enforce data quality checks and governance practices to maintain data integrity and compliance.

Cross-Functional Collaboration: Work with data scientists, product managers, and business stakeholders to understand data needs and deliver actionable insights.

Performance Optimization: Analyze and optimize data pipelines for performance and cost-effectiveness.