Data Engineer role at DyFlex Solutions, designing enterprise - scale data solutions for client projects using cloud and modern frameworks. Hands - on technical delivery combined with client - facing consulting in a hybrid work setup.
About the role
- Data Engineer building and maintaining data ingestion pipelines for a leading AI startup. Ensuring data quality and collaborating with engineering teams to support product development.
Responsibilities
- Design, build, and maintain data ingestion pipelines for a large number of external sources
- Own data storage and data modeling decisions that support product and AI use cases
- Ensure data quality, consistency, and freshness across the platform
- Improve performance, reliability, and cost-efficiency of data pipelines
- Enable horizontal scaling into new geographic markets through robust data integrations
- Safely evolve data schemas and infrastructure without disrupting production systems
- Collaborate closely with backend, fullstack, and AI engineers to support downstream features
- Take long-term ownership of core data systems and reduce operational risk
Requirements
- A few years of experience designing and building modern data platforms, pipelines and storage systems
- Strong data and software engineering fundamentals
- Comfort handling complex or heterogeneous data sources
- Thoughtful, risk-aware approach to changes in production systems
- Enjoyment of ownership and long-term responsibility for infrastructure
- Ability to collaborate with product-oriented engineering teams
- Collaborative, humble, and focused on building what delivers the most value for customers.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
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