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.

 

• 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

 

• Strong analytical and problem-solving skills

• High energy, ownership mindset, and accountability

• Flexible and results-oriented

• Strong communication and stakeholder management skills

• Ability to guide junior team members

• Work effectively with diverse technical and business teams

• Provide technical mentoring and best practices

• Manage multiple projects and priorities effectively

• Deliver customer-focused solutions

• Optimize performance and resource utilization

• Strong understanding of cloud-native data architecture

• Ability to communicate complex technical concepts clearly

• Experience with Agile/Scrum methodologies

 

• BigQuery

• Cloud Storage

• Cloud Dataflow

• Cloud Dataproc

• Pub/Sub

• Cloud Composer (Airflow)

• Cloud Functions

• Cloud Run

• Python (Pandas, NumPy, PySpark)

• SQL (advanced querying and optimization)

• Spark (Batch & Streaming)

• ETL/ELT pipeline development

• Data modeling (Star & Snowflake schema)

• Real-time streaming architectures

• API integrations and REST services

• CI/CD (GitHub Actions, Jenkins, or similar)

• Docker

• Kubernetes

• Infrastructure as Code (Terraform preferred)

 

• 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.