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TTEC Digital ajută organizațiile să îmbunătățească experiența clienților prin consultanță, marketing, inteligență artificială și tehnologii pentru clienți. Activitatea sa acoperă inteligența artificială, tehnologia centrelor de contact, gestionarea relațiilor cu clienții, analiza datelor, strategia și designul experienței clienților, precum și servicii gestionate, oferind soluții pentru sprijinirea transformării digitale a companiilor de pe segmentul mediu al pieței și pentru interacțiuni mai eficiente cu clienții.
Senior Data Engineer, Data and AI at TTEC Digital (Canada Remote)
Lead Azure and Databricks data platforms that support TTEC Digital’s client experience solutions. Build governed pipelines, APIs, MCP integrations, and agentic AI data services.
Descriere
- Lead end-to-end data platform design and delivery across ingestion, cleansing, preparation, transformation, analytics, and activation
- Architect Medallion lakehouse solutions with OneLake and Delta Lake
- Own dimensional, normalized, and semantic data models for client engagements
- Develop batch and streaming ingestion using Fabric Data Factory, Azure Databricks Structured Streaming, and Event Hubs
- Assess architectural risks and technical debt while improving pipeline performance and cost efficiency
- Create APIs and data services that enable governed data activation
- Build MCP and API integrations with frontline systems, Fabric and Copilot Data Agents, and agentic AI interfaces
- Work with AI and Architecture teams to make enterprise data available to Data Agents and Generative AI applications
- Establish data governance with Microsoft Purview and/or Unity Catalog
- Support production operations and respond to incidents affecting critical pipelines and activation services
- Coach Data Engineers and provide technical guidance through code, data model, and design reviews
- Serve as a trusted technical advisor to client stakeholders
- Help develop reusable frameworks, accelerators, and engineering standards
- Contribute to presales work through estimates, proposals, and solution design
- Assess Fabric and Azure Databricks capabilities and recommend appropriate applications
Cerințe
- Bachelor’s or master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field
- Five to eight years of data engineering experience, including ownership of production Azure data pipelines
- Expert proficiency in Python, SQL, and PySpark
- Extensive practical experience with Azure Data Factory, Microsoft Fabric, Synapse, ADLS Gen2, and/or Azure Databricks
- Experience applying Delta Lake, OneLake, and Medallion architecture patterns
- Strong expertise in data modeling, schema design, and enterprise data architecture
- Experience designing APIs and MCP integrations
- Experience with orchestration and CI/CD tools, including Fabric pipelines, Azure Data Factory, Databricks Workflows, and Azure DevOps
- Strong knowledge of Microsoft Purview and/or Unity Catalog
- Ability to mentor engineers and lead technical design discussions in client-facing engagements
- Ability to independently diagnose complex data issues at scale
- Excellent communication skills for explaining technical trade-offs to engineering and client audiences
- Microsoft and/or Databricks certifications are preferred
Beneficii
- Certified Great Place To Work employer for 2024–2025
- Commitment to equal opportunity and a diverse, inclusive workforce
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