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Senior Data Engineer - GCP

TtecdigitalHyderabad🇮🇳IndiaPosted 25 Feb 2026

Why this role stands out

Accelerate your career at TTEC Digital by designing cutting-edge GCP data architectures that drive meaningful business impact within a supportive, growth-oriented culture. This role is perfect for a results-driven professional who thrives in collaborative environments and wants to sharpen their expertise in modern cloud data pipelines and advanced analytics. Apply today to join a team dedicated to your professional success and long-term development.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationHyderabad, India
Posted8 months ago
Stakeholder ManagementDockerGCPSQLGitApache SparkETLNumPyScrumSnowflakeAirflowBigQueryGitHub ActionsGoogle CloudJenkinsPandasPythonTerraformRESTKubernetesAgileProject ManagementCI/CD

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)

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