Full-Time Senior Data Engineer

Senior Data Engineer at Later

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.

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