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Data Infrastructure Specialist
3 weeks ago
We are seeking a skilled data engineer to develop and maintain cutting-edge data infrastructure using AI-driven confidence scoring and best practices.
- Create and implement efficient data processing pipelines.
- Manage and maintain scalable data solutions.
- Deploy machine learning models into production environments.
- Evaluate data quality, consistency, and integrity across diverse sources.
- Collaborate with software engineers to develop data-driven features.
Requirements:
- At least 2 years of relevant experience in data engineering.
- Strong proficiency in Python programming language.
- Experience with SQL, NoSQL, or Graph databases.
- Familiarity with cloud platforms (GCP, AWS).
- Experience with CI/CD setups.
- Strong foundation in algorithms, database structures, and integration strategies.
- Proven ability to design scalable data solutions.
Nice-to-Have / Preferred Skills:
- Experience building scalable APIs and deploying ML/AI solutions.
- Understanding of event-driven architectures (e.g., Kafka).
- Exposure to graph data structures.
Benefits:
- Cross-functional team collaboration.
- Opportunities for technical leadership and innovation.