About the job
Join our dynamic team at Manusai as an experienced Data Engineer, where you will take the lead in enhancing the efficiency, performance, and reliability of our data infrastructure. You will conduct thorough audits of our existing systems, pinpoint areas for improvement, and implement robust solutions that ensure our data is both high-performing and trustworthy. This pivotal role is essential in establishing a reliable source of truth for data that empowers our analytics and data science teams to extract actionable insights confidently. You will play a key role in building and maintaining a scalable and resilient data ecosystem that aligns with our strategic objectives.
Key Responsibilities
Infrastructure Auditing & Optimization
- Perform detailed audits of the current data infrastructure to evaluate its efficiency, scalability, and performance.
- Identify performance bottlenecks and propose optimization strategies.
- Redesign and modernize data pipelines to enhance scalability and minimize latency.
- Set up monitoring and alerting systems to proactively manage infrastructure issues.
Data Pipeline & ETL Development
- Design, build, and maintain robust ETL/ELT processes to ingest data from diverse sources.
- Assemble large, complex datasets that fulfill both functional and non-functional business requirements.
- Automate manual data processes to enhance efficiency and minimize human error.
Ground Truth Data Source Management
- Create and sustain a centralized, dependable source of truth for all essential business data.
- Implement stringent data quality checks and validation processes to guarantee accuracy and consistency.
- Advocate for and enforce data governance best practices, including data lineage and metadata management.
Collaboration & Support
- Collaborate closely with data scientists, analysts, and other stakeholders to understand their data needs and provide necessary support.
- Develop analytical tools and offer technical support to enable effective utilization of the data infrastructure.
- Serve as a subject matter expert in data engineering best practices and promote their adoption within the organization.

