Later is looking to build and optimize its data warehouse to support rapid growth and provide actionable insights to stakeholders.
Requirements
- Minimum of 5 years in data engineering or related fields, with a strong focus on building data infrastructure and pipelines
- Experience with cloud technologies
- Experience with data pipeline development and data architecture
- Experience with data quality and governance practices
- Experience with DBT or similar tools
- Experience with batch and streaming data processing systems
- Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree preferred
Responsibilities
- Design and build a robust data warehouse architecture
- Design, build, and maintain scalable data pipelines for both batch and real-time processing
- Develop reliable transformation layers and data pipelines from ambiguous business processes using tools like DBT
- Establish optimized data architectures using cloud technologies, and implement both batch and streaming data processing systems
- Enforce data quality checks and governance practices to maintain data integrity and compliance
- Analyze and optimize data pipelines for performance and cost-effectiveness
- Collaborate with data scientists, product managers, and business stakeholders to understand data needs and deliver actionable insights
Other
- Proactive and results-driven, always taking initiative, aligning your actions with company goals, and delivering consistent outcomes
- Strategic and forward-thinking, balancing immediate needs with long-term opportunities to drive impactful, innovative results
- Adaptable and resourceful, handling shifting priorities with ease, managing your time effectively, and knowing when to ask for support
- Leading with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration
- Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree preferred
- Years of Experience: Minimum of 5 years in data engineering or related fields
