Consultant - Analytics

TTEC Digital; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

TTEC Digital is seeking a Consultant - Data Analytics to lead data engineering, API development, and cloud-based solutions. The role emphasizes building scalable data pipelines, collaborating with data scientists and project teams, and delivering high-quality analytics capabilities.

The candidate will design data architectures, implement RESTful APIs, and work with Azure Databricks, Synapse-like tools, Apigee, and containerized deployments in Kubernetes environments.

Qualifications

• Bachelor's degree in CS/IT/MIS or related field.
• 5-8 years in Data Engineering/Analytics.
• 3+ years cloud app design & development.
• 2+ years building containerized apps in Kubernetes.
• 2+ years REST services & APIs development (Python, C#, Node.js, Java).
• CKAD and Apigee certifications preferred.

Responsibilities

• Analyze, transform, and structure raw data from multiple sources.
• Design, develop, and maintain scalable datasets and data pipelines.
• Improve data quality, reliability, performance, and processing efficiency.
• Design and implement cloud-based data engineering solutions.
• Develop solution architecture, designs, and implementation docs.
• Develop and integrate REST services and APIs.
• Design, develop, test, and deploy API solutions using Apigee X/Edge.
• Create and maintain Swagger/OpenAPI specifications.
• Work with Azure Data Factory, Azure Databricks, and big data tech.
• Develop and deploy containerized apps in Kubernetes environments.
• Implement CI/CD with GitHub Actions and Jenkins.
• Collaborate with delivery teams; mentor junior engineers.
• Participate in pre-sales and technical estimation.
• Stay current with cloud, data engineering, API, and analytics tech.

Skills

Python

PySpark

SQL

Azure Data Factory

Azure Databricks

Big Data

Spark

Hive

Pig

Sqoop

Kafka

GitHub Actions

Jenkins

REST APIs

Apigee X

Apigee Edge

Swagger/OpenAPI

Docker

Kubernetes

CI/CD

Agile/Scrum

C#

Node.js

Java

Education

Bachelor's degree in Computer Science / Information Technology / MIS

5-8 years of Data Engineering / Analytics experience

3+ years cloud app design & development

2+ years Kubernetes in production

2+ years REST services & APIs development

CKAD certification

Google Cloud Apigee API Engineer certification

Tools

Azure Data Factory

Azure Databricks

Docker

Kubernetes

GitHub Actions

Jenkins

Job description

Position Purpose

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.

The 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 Responsibilities

• Analyze, transform, and structure raw data from multiple sources
• Design, develop, and maintain scalable datasets and data pipelines
• Improve data quality, reliability, performance, and processing efficiency
• Design and implement cloud-based data engineering solutions
• Develop solution architecture, technical designs, and implementation documentation
• Develop and integrate REST services and APIs
• Design, develop, test, and deploy API solutions using Apigee X and/or Apigee Edge
• Create and maintain Swagger/OpenAPI specifications
• Work with Azure Data Factory, Azure Databricks, and big data technologies
• Develop and deploy containerized applications in Kubernetes-enabled environments
• Implement CI/CD practices using tools such as GitHub Actions and Jenkins
• Work independently on assigned projects while collaborating effectively with larger delivery teams
• Support Agile/Scrum ceremonies and contribute to continuous improvement
• Develop internal training materials, technical processes, and best practices
• Mentor and cross-train junior engineers and team members
• Provide technical guidance and support for complex customer requirements
• Participate in solutioning and pre-sales activities, including effort estimation and technical inputs
• Collaborate closely with Project Management to ensure projects are delivered on time and within budget
• Stay current with emerging cloud, data engineering, API, and analytics technologies

Core Competencies

Personal

• Strong interpersonal and communication skills
• High energy, enthusiasm, integrity, and professionalism
• Flexible, resourceful, and results-oriented approach
• Strong analytical and problem-solving abilities
• Ability to prioritize multiple tasks and manage competing deadlines
• Comfortable working in challenging and customer-facing environments

Leadership

• Ability to establish credibility with clients and internal stakeholders
• Ability to mentor, motivate, and provide technical guidance to junior team members
• Comfortable working with diverse customer and delivery teams
• Positive and collaborative approach to problem-solving
• Ability to take ownership of complex technical assignments

Delivery & Operations

• Ability to manage multiple projects, priorities, and deliverables
• Strong focus on quality, timelines, and efficient utilization of resources
• Ability to independently handle complex technical challenges
• Customer-focused approach with strong ownership of deliverables
• Ability to work effectively in Agile/Scrum delivery environments

Technical Skills

• Python: PyData, Pandas, NumPy, PySpark
• SQL: MS SQL Server, Oracle, Teradata
• Azure Data Factory
• Azure Databricks
• Big Data: Spark, Hive, Pig, Sqoop, Kafka
• DevOps: GitHub Actions and/or Jenkins
• REST Services & APIs
• Apigee X and/or Apigee Edge
• Swagger/OpenAPI
• Docker & Kubernetes
• CI/CD
• Agile/Scrum
• Experience with one or more of Python, C#, Node.js, or Java

Education, Experience & Certifications

• Bachelor's degree or Post-Secondary qualification in Computer Science, Information Technology, MIS, or a related field
• Candidates with a degree in an unrelated discipline may also be considered based on relevant technical experience
• 5-8 years of experience in Data Engineering, Analytics, or a closely related technical discipline
• 3+ years of application design and development experience in a cloud environment
• 2+ years of experience building and deploying containerized applications in Kubernetes-enabled environments
• 2+ years of experience developing REST services and APIs using Python, C#, Node.js, Java, or similar technologies
• Certified Kubernetes Application Developer (CKAD) is preferred
• Google Cloud Certified Apigee API Engineer certification is preferred

Preferred Experience

• Enterprise data engineering or analytics experience
• Cloud migration, modernization, and implementation experience
• Client-facing experience and strong stakeholder management skills
• Experience supporting pre-sales activities and technical estimation
• Experience mentoring junior engineers
• Exposure to multi-cloud environments is an advantage

We 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.