Senior Data Scientist - GCP
Reads like a Data Engineer role: pipelines and data infrastructure.
Hyderabad
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-Time
Employment type in the employer’s posting: Full-Time
From the employer’s posting
What you’ll work on
Full postingDesign, 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
Implement DevOps and CI/CD practices for data pipelines
From the employer’s posting
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
Implement DevOps and CI/CD practices for data pipelines
What you’ll bring
All qualificationsCore experience
- 5+ years of data engineering experience (5–8 years stated)
- 3+ years hands-on experience with Google Cloud Platform
- 2+ years building containerized applications
- Bachelor's degree in Computer Science, Engineering, MIS, or related field
- Advanced SQL and Python (Pandas, NumPy, PySpark)
Qualification wording
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
Bachelor’s degree in Computer Science, Engineering, MIS, or related field
SQL (advanced querying and optimization)
Education & alternatives
Education, Experience and Certification • Bachelor’s degree in Computer Science, Engineering, MIS, or related field • 5–8 years of experience in Data Engineering
Tools in this posting
- Python
- SQL
- BigQuery
- Docker
- GCP
- Kubernetes
- Terraform
- NumPy
- pandas
- PySpark
Source — Tool mentions in context
Programming & Data • Python (Pandas, NumPy, PySpark) • SQL (advanced querying and optimization)
• Python (Pandas, NumPy, PySpark) • SQL (advanced querying and optimization) • Spark (Batch & Streaming)
GCP Core Services • BigQuery • Cloud Storage
• CI/CD (GitHub Actions, Jenkins, or similar) • Docker • Kubernetes
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.
• 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.
• Docker • Kubernetes • Infrastructure as Code (Terraform preferred)
• Kubernetes • Infrastructure as Code (Terraform preferred) Education, Experience and Certification
Posting record
Report an errorOpen 6 monthsWe first saw this posting 197 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Apr 15, 2026 · 197 days ago
- Recorded sightings
- 184
- Last seen by us
- Oct 29, 2026
- Employer says posted
- Feb 25, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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.
Employment type
Full-Time
Source details
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- Pay
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- Location & working pattern
Hyderabad
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