Senior Data Engineer
Valtech
| Company | Valtech |
| Category | Engineering |
| Location | Bengaluru |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 20 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience.
The opportunity
At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.
We are proud of:
The work we do and the innovation we drive
Our values of share, care a nd dare
A workplace culture that fosters creativity, diversity and autonomy
Our borderless, global framework, which enables seamless collaboration
The role
As a Data Engineer , you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 4+YEARS of experience, a growth mindset and a drive to make a lasting impact.
You will thrive in this role if you are:
A curious problem solver who challenges the status quo
A collaborator who values teamwork and knowledge-sharing
Excited by the intersection of technology, creativity and data
Experienced in Agile methodologies and consulting (a plus)
Role responsibilities
Data Infrastructure & Architecture
Design and implement robust, scalable data architectures and pipelines
Build and maintain ETL/ELT processes for batch and real-time data processing
Develop data models and schemas optimized for analytics and reporting
Ensure data quality, consistency, and reliability across all data systems
Platform-Agnostic Development
Work with multiple cloud platforms (AWS, Azure, GCP) based on client requirements
Implement data solutions using various technologies and frameworks
Adapt quickly to new tools and platforms as project needs evolve
Maintain expertise across different cloud ecosystems and services
Data Pipeline Development
Create automated data ingestion pipelines from various sources (APIs, databases, files, streaming)
Implement data transformation logic using modern data processing frameworks
Build monitoring and alerting systems for data pipeline health
Optimize pipeline performance and cost-efficiency
Collaboration & Integration
Work closely with data scientists, analysts, and business stakeholders
Collaborate with DevOps teams to implement CI/CD for data pipelines
Partner with client teams to understand data requirements and deliver solutions
Participate in architecture reviews and technical decision-making
Must have qualifications
Technical Skills
Minimum 3+ years of experience in data engineering or related field
Strong programming skills in Python and/or Scala/Java
Experience with SQL and database technologies (PostgreSQL, MySQL, MongoDB)
Hands-on experience with data processing frameworks:
Apache Spark, Hadoop ecosystem
Apache Kafka for streaming data
Apache Airflow or similar workflow orchestration tools
Knowledge of data warehouse concepts and technologies
Experience with containerization (Docker, Kubernetes)
Understanding of data modeling principles and best practices
Clou