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)