Senior Data Engineer - GCP

TTEC Digital; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

TTEC Digital in Hyderabad, India, seeks a seasoned GCP Data Engineer to design, build, and maintain scalable data pipelines on Google Cloud Platform. You will collaborate with data scientists, architects, and stakeholders to enable analytics, reporting, and data-driven decision making.

You'll implement batch and real-time processing, manage data lakes and warehouses, and apply DevOps and CI/CD practices to data pipelines, ensuring quality and reliability across projects.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 5–8 years of data engineering experience.
• 3+ years hands-on with Google Cloud Platform.
• Experience building containerized apps and data pipelines.

Responsibilities

• Design, build, and maintain scalable data pipelines on GCP.
• Develop batch and real-time data processing solutions.
• Build and manage data lakes and data warehouses.
• Develop datasets for analytics and reporting.
• Improve data quality, reliability, and efficiency.
• Create solution design and technical documentation.
• Collaborate with cross-functional teams and stakeholders.
• Implement DevOps/CI-CD for data pipelines.

Skills

Cloud data engineering

Data pipelines

Analytical mindset

Agile/Scrum

Stakeholder communication

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering or MIS

Tools

BigQuery

Cloud Storage

Cloud Dataflow

Cloud Dataproc

Pub/Sub

Cloud Composer

Cloud Functions

Cloud Run

Python

SQL

Spark

Terraform

Docker

Kubernetes

Job description

• Cloud Storage
• Cloud Dataflow
• Cloud Run

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 Purpose

The GCP Data Engineer will be part of the Data & Analytics team, responsible for designing, building, and maintaining scalable data pipelines and cloud-based data platforms on Google Cloud Platform (GCP). This role focuses on transforming raw data into reliable and efficient data systems that enable advanced analytics, reporting, and data-driven decision-making. The Data Engineer will collaborate with Data Scientists, Architects, Project Managers, and Business stakeholders on implementation, migration, modernization, and optimization initiatives.

Key Responsibilities

• Design, build, and maintain scalable data pipelines on GCP
• Develop and optimize batch and real-time data processing solutions
• Build and manage data lakes and data warehouses
• Develop and maintain datasets for analytics and reporting
• Improve data quality, reliability, and efficiency
• Create solution design and technical documentation
• Work independently and as part of cross-functional teams
• Assist in pre-sales activities by providing effort estimates and technical inputs
• Collaborate with Project Management to ensure on-time, on-budget delivery
• Implement DevOps and CI/CD practices for data pipelines

Competencies

Personal

• Strong analytical and problem-solving skills
• High energy, ownership mindset, and accountability
• Flexible and results-oriented
• Strong communication and stakeholder management skills

Leadership

• Ability to guide junior team members
• Work effectively with diverse technical and business teams
• Provide technical mentoring and best practices

Operations

• Manage multiple projects and priorities effectively
• Deliver customer-focused solutions
• Optimize performance and resource utilization

Technical

• Strong understanding of cloud-native data architecture
• Ability to communicate complex technical concepts clearly
• Experience with Agile/Scrum methodologies

Technical Skills

GCP Core Services

• BigQuery
• Cloud Storage
• Cloud Dataflow
• Cloud Dataproc
• Pub/Sub
• Cloud Composer (Airflow)
• Cloud Functions
• Cloud Run

Programming & Data

• Python (Pandas, NumPy, PySpark)
• SQL (advanced querying and optimization)
• Spark (Batch & Streaming)

Data Engineering & Integration

• ETL/ELT pipeline development
• Data modeling (Star & Snowflake schema)
• Real-time streaming architectures
• API integrations and REST services

DevOps & Containerization

• CI/CD (GitHub Actions, Jenkins, or similar)
• Docker
• Kubernetes
• Infrastructure as Code (Terraform preferred)

Education, Experience And Certification

• Bachelor’s degree in Computer Science, Engineering, MIS, or related field
• 5-8 years of experience in Data Engineering
• 3+ years of hands-on experience with Google Cloud Platform
• 2+ years of experience building containerized applications
• Strong experience in designing and deploying data pipelines in cloud environments
• Google Cloud Professional Data Engineer certification (Preferred)

TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.

We are also delighted to share that TTEC has been awarded the Great Place To Work 2024-2025 certification based on outstanding employee experience across 14 countries.

TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.