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.

Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.

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.

Senior Data Engineer - GCP