{"id":117599,"url":"https://alion.io/job/ttec-digital-consultant-analytics","title":"Sr. Consultant - Analytics","company":{"id":3352,"name":"TTEC Digital","domain":"ttecdigital.com","url":"https://alion.io/company/ttec-digital","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":85,"open_postings":54,"ghost_share":0.167,"stale_share":0,"repost_share":0.019,"time_to_fill_p50_days":78,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":36000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":43},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"MS SQL","optional":false},{"name":"Node JS","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Swagger","optional":false},{"name":"Teradata","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-05-02T09:11:44Z","employer_posted_date":"2026-05-02","last_verified_at":"2026-10-17T20:27:02Z","board_verified":true,"closed_at":null,"days_open":168,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":167},"description":"Position Purpose\nThe 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.\nThe 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.\nKey Responsibilities\nAnalyze, transform, and structure raw data from multiple sources.\nDesign, develop, and maintain scalable datasets and data pipelines.\nImprove data quality, reliability, performance, and processing efficiency.\nDesign and implement cloud-based data engineering solutions.\nDevelop solution architecture, technical designs, and implementation documentation.\nDevelop and integrate REST services and APIs.\nDesign, develop, test, and deploy API solutions using Apigee X and/or Apigee Edge.\nCreate and maintain Swagger/OpenAPI specifications.\nWork with Azure Data Factory, Azure Databricks, and big data technologies.\nDevelop and deploy containerized applications in Kubernetes-enabled environments.\nImplement CI/CD practices using tools such as GitHub Actions and Jenkins.\nWork independently on assigned projects while collaborating effectively with larger delivery teams.\nSupport Agile/Scrum ceremonies and contribute to continuous improvement.\nDevelop internal training materials, technical processes, and best practices.\nMentor and cross-train junior engineers and team members.\nProvide technical guidance and support for complex customer requirements.\nParticipate in solutioning and pre-sales activities, including effort estimation and technical inputs.\nCollaborate closely with Project Management to ensure projects are delivered on time and within budget.\nStay current with emerging cloud, data engineering, API, and analytics technologies.\nCore Competencies\nPersonal\nStrong interpersonal and communication skills.\nHigh energy, enthusiasm, integrity, and professionalism.\nFlexible, resourceful, and results-oriented approach.\nStrong analytical and problem-solving abilities.\nAbility to prioritize multiple tasks and manage competing deadlines.\nComfortable working in challenging and customer-facing environments.\nLeadership\nAbility to establish credibility with clients and internal stakeholders.\nAbility to mentor, motivate, and provide technical guidance to junior team members.\nComfortable working with diverse customer and delivery teams.\nPositive and collaborative approach to problem-solving.\nAbility to take ownership of complex technical assignments.\nDelivery & Operations\nAbility to manage multiple projects, priorities, and deliverables.\nStrong focus on quality, timelines, and efficient utilization of resources.\nAbility to independently handle complex technical challenges.\nCustomer-focused approach with strong ownership of deliverables.\nAbility to work effectively in Agile/Scrum delivery environments.\nTechnical Skills\nPython: PyData, Pandas, NumPy, PySpark\nSQL: MS SQL Server, Oracle, Teradata\nAzure Data Factory\nAzure Databricks\nBig Data: Spark, Hive, Pig, Sqoop, Kafka\nDevOps: GitHub Actions and/or Jenkins\nREST Services & APIs\nApigee X and/or Apigee Edge\nSwagger/OpenAPI\nDocker & Kubernetes\nCI/CD\nAgile/Scrum\nExperience with one or more of Python, C#, Node.js, or Java\nEducation, Experience & Certifications\nBachelor's degree or Post-Secondary qualification in Computer Science, Information Technology, MIS, or a related field.\nCandidates with a degree in an unrelated discipline may also be considered based on relevant technical experience.\n5-8 years of experience in Data Engineering, Analytics, or a closely related technical discipline.\n3+ years of application design and development experience in a cloud environment.\n2+ years of experience building and deploying containerized applications in Kubernetes-enabled environments.\n2+ years of experience developing REST services and APIs using Python, C#, Node.js, Java, or similar technologies.\n Certified Kubernetes Application Developer (CKAD) is preferred.\n Google Cloud Certified Apigee API Engineer certification is preferred.\nPreferred Experience\nEnterprise data engineering or analytics experience.\nCloud migration, modernization, and implementation experience.\nClient-facing experience and strong stakeholder management skills.\nExperience supporting pre-sales activities and technical estimation.\nExperience mentoring junior engineers.\nExposure to multi-cloud environments is an advantage.","description_format":"text","description_chars":4726,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Systems Integrators","AI Consulting & Integration","Contact Center 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