Senior Data Engineer - GCP

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)