
Artificial Intelligence • B2B • Customer Experience
TTEC Digital is a leader in customer experience transformation, combining technology and human empathy to enhance customer interactions. With a focus on artificial intelligence, contact center technology, and customer relationship management, TTEC Digital delivers tailored solutions for mid-market digital transformation. Their comprehensive offerings include data analytics, CX strategy and design, and managed services that optimize customer engagements across various industries.
1001 - 5000 employees
🤖 Artificial Intelligence
🤝 B2B
Yesterday

Artificial Intelligence • B2B • Customer Experience
TTEC Digital is a leader in customer experience transformation, combining technology and human empathy to enhance customer interactions. With a focus on artificial intelligence, contact center technology, and customer relationship management, TTEC Digital delivers tailored solutions for mid-market digital transformation. Their comprehensive offerings include data analytics, CX strategy and design, and managed services that optimize customer engagements across various industries.
1001 - 5000 employees
🤖 Artificial Intelligence
🤝 B2B
• Design and deploy scalable Google Cloud services in GCP. • Implement IAM access controls to ensure secure and compliant data environments. • Develop and implement robust data ingestion pipelines from diverse sources. • Develop and enforce data validation processes to maintain accuracy and reliability. • Enhance data quality and efficiency through continuous optimization. • Analyze raw data to uncover patterns, trends, and opportunities. • Produce clear design documentation and solution roadmaps. • Lead projects independently while collaborating effectively within larger teams. • Mentor and cross‑train junior and senior Data Engineers, sharing expertise on complex assignments. • Support pre‑sales activities by providing accurate work estimates and technical input. • Partner closely with Project Management to deliver projects on time and within budget. • Travel occasionally as required for project or team needs.
• Post‑secondary degree or diploma in Computer Science, MIS, or IT‑related field (BA/BS in unrelated field considered with relevant experience). • 8+ years of experience in Data Engineering. • 3+ years of application design and development in a cloud environment. • 2+ years building and deploying containerized applications in Kubernetes. • 2+ years coding REST services and APIs using Python, C#, Node.js, or Java. • Google Cloud Certified Professional Data Engineer required. • Google Cloud Certified Cloud DevOps Engineer preferred (optional).
• Health insurance • Professional development opportunities • Flexible work arrangements • Paid time off
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