Consultant - Analytics

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.Position PurposeThe Consultant – Data Analytics is part of the TTEC Digital Analytics & Insights Experience (AIX) team, responsible for delivering data engineering, analytics, and API solutions that enable clients to transform raw transactional data into scalable, usable data structures and actionable insights.The role combines hands-on technical expertise with solution design, project delivery, mentoring, and client collaboration. The Consultant will work closely with Data Scientists, Project Leads, Managers, and other technical teams across implementation, modernization, migration, and cloud-based data engineering projects.Key ResponsibilitiesAnalyze, transform, and structure raw data from multiple sourcesDesign, develop, and maintain scalable datasets and data pipelinesImprove data quality, reliability, performance, and processing efficiencyDesign and implement cloud-based data engineering solutionsDevelop solution architecture, technical designs, and implementation documentationDevelop and integrate REST services and APIsDesign, develop, test, and deploy API solutions using Apigee X and/or Apigee EdgeCreate and maintain Swagger/OpenAPI specificationsWork with Azure Data Factory, Azure Databricks, and big data technologiesDevelop and deploy containerized applications in Kubernetes-enabled environmentsImplement CI/CD practices using tools such as GitHub Actions and JenkinsWork independently on assigned projects while collaborating effectively with larger delivery teamsSupport Agile/Scrum ceremonies and contribute to continuous improvementDevelop internal training materials, technical processes, and best practicesMentor and cross-train junior engineers and team membersProvide technical guidance and support for complex customer requirementsParticipate in solutioning and pre-sales activities, including effort estimation and technical inputsCollaborate closely with Project Management to ensure projects are delivered on time and within budgetStay current with emerging cloud, data engineering, API, and analytics technologiesCore CompetenciesPersonalStrong interpersonal and communication skillsHigh energy, enthusiasm, integrity, and professionalismFlexible, resourceful, and results-oriented approachStrong analytical and problem-solving abilitiesAbility to prioritize multiple tasks and manage competing deadlinesComfortable working in challenging and customer-facing environmentsLeadershipAbility to establish credibility with clients and internal stakeholdersAbility to mentor, motivate, and provide technical guidance to junior team membersComfortable working with diverse customer and delivery teamsPositive and collaborative approach to problem-solvingAbility to take ownership of complex technical assignmentsDelivery & OperationsAbility to manage multiple projects, priorities, and deliverablesStrong focus on quality, timelines, and efficient utilization of resourcesAbility to independently handle complex technical challengesCustomer-focused approach with strong ownership of deliverablesAbility to work effectively in Agile/Scrum delivery environmentsTechnical SkillsPython: PyData, Pandas, NumPy, PySparkSQL: MS SQL Server, Oracle, TeradataAzure Data FactoryAzure DatabricksBig Data: Spark, Hive, Pig, Sqoop, KafkaDevOps: GitHub Actions and/or JenkinsREST Services & APIsApigee X and/or Apigee EdgeSwagger/OpenAPIDocker & KubernetesCI/CDAgile/ScrumExperience with one or more of Python, C#, Node.js, or JavaEducation, Experience & CertificationsBachelor's degree or Post-Secondary qualification in Computer Science, Information Technology, MIS, or a related fieldCandidates with a degree in an unrelated discipline may also be considered based on relevant technical experience5–8 years of experience in Data Engineering, Analytics, or a closely related technical discipline3+ years of application design and development experience in a cloud environment2+ years of experience building and deploying containerized applications in Kubernetes-enabled environments2+ years of experience developing REST services and APIs using Python, C#, Node.js, Java, or similar technologiesCertified Kubernetes Application Developer (CKAD) is preferredGoogle Cloud Certified Apigee API Engineer certification is preferredPreferred ExperienceEnterprise data engineering or analytics experienceCloud migration, modernization, and implementation experienceClient-facing experience and strong stakeholder management skillsExperience supporting pre-sales activities and technical estimationExperience mentoring junior engineersExposure to multi-cloud environments is an advantageWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.