Data Engineer – Pipelines, APIs, AI Data Systems
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Job Description
Data Engineer designing and building scalable data pipelines for AI and analytics at Newfold Digital. Collaborating with analytics, BI, and AI teams for data accessibility and reuse.
Responsibilities:
- Design and develop scalable data pipeline architectures for batch and real-time processing
- Build and maintain API-based ingestion frameworks and event-driven data streams
- Develop robust Python-based data processing workflows
- Integrate data from multiple sources
- Implement and optimize data models and transformations for downstream consumption
- Contribute to building AI-ready data infrastructure, including: Embedding pipelines, Vector database integrations
- Collaborate with analytics, BI, and AI teams to enable data accessibility and reuse
- Ensure data quality, monitoring, and reliability across pipelines
- Follow best practices for performance, scalability, and governance
Requirements:
- Strong experience with Python for data engineering
- Hands-on experience designing data pipelines (batch and/or streaming)
- Experience with API integrations and ingestion frameworks
- Strong SQL skills and understanding of data warehousing concepts
- Experience with cloud-based data platforms (OCI, AWS, or GCP)
- Solid understanding of data modeling and pipeline optimization
Benefits:
- OSDE 310 Health Care
- Monthly Salary Reviews
- Tuition Reimbursement
- Internet Reimbursement
- In-company English Lessons
- LinkedIn learning
- Referral Program Bonus
- F5 extra days off
- Annual Bonus
- Opportunity to work on Global projects with Multicultural team
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