Related skills
aws data pipelines data quality batch processing graph databases📋 Description
- Platform Architecture: Build a scalable end-to-end data platform.
- High-Volume Ingestion: Design pipelines for diverse sources with real-time detection.
- Multi-Store Orchestration: Manage data across relational, graph, vector, and search stores.
- Modeling for AI & Analytics: Develop data models for ML and analytics in RAG workflows.
- Quality & Observability: Implement data quality checks and full-stack observability.
🎯 Requirements
- Strong experience as a Senior Data Engineer / Data Infrastructure Engineer working on production systems.
- Proven ability to design, build, and operate distributed data pipelines at scale.
- Hands-on experience with both batch and streaming data processing.
- Experience across multiple data stores (relational, graph, vector, search).
- Solid experience with AWS and data-relevant AWS services.
- Strong collaboration skills with Product, Data Science, and ML/AI Engineering teams.
🎁 Benefits
- 100% Remote Work
- WFH allowance for remote working
- Career Growth: 360º feedback and career development program
- Training: Tech training options (Pluralsight, Educative.io), English classes, books
- Mentoring Program: Mentoring or mentee
- Zartis Wellbeing Hub: Kara Connect and wellbeing resources
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