Location
In office (Hyderabad)
Seniority
Senior · 5+ years exp
Employment
Full-Time
First seen by Alion on Nov 2, 2026.
Overview
Company
Impact
Profile match
TTEC is a global customer experience technology and services company that specializes in Customer Experience (CX) strategy, contact center operations, and AI-enhanced services. Serving brands across diverse industries, TTEC employs a unique blend of human talent and AI technology to optimize customer interactions and drive satisfaction. With over 54,000 employees across 80+ contact centers, TTEC provides tailored solutions that enhance customer journeys, improve operational efficiency, and foster long-term loyalty.
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
Personal
GCP Core Services
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.
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
Personal
- 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
GCP Core Services
- 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)
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.
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