Senior Data Engineer

About the Position

Join Valtech as a Senior Data Engineer in Bengaluru. Design scalable data architectures, implement ETL processes, and collaborate with data scientists and business stakeholders.

About the Company

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world.

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more.

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.

Are you ready to create what’s next? Join us.

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

Requirements

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

Cloud & Platform Experience

• Experience with at least one major cloud platform (AWS, Azure, or GCP)
• Familiarity with cloud-native data services:
  • Data lakes, data warehouses, and analytics services
  • Serverless computing and event-driven architectures
  • Identity and access management for data systems
• Knowledge of Infrastructure as Code (Terraform, CloudFormation, ARM templates)

Data & Analytics

• Understanding of data governance and security principles
• Experience with data quality frameworks and monitoring
• Knowledge of dimensional modeling and data warehouse design
• Familiarity with business intelligence and analytics tools
• Understanding of data privacy regulations (GDPR, CCPA)

Nice to Have

Advanced Technical Skills

• Experience with modern data stack tools (dbt, Fivetran, Snowflake, Databricks)
• Knowledge of machine learning pipelines and MLOps practices
• Experience with event-driven architectures and microservices
• Familiarity with data mesh and data fabric concepts
• Experience with graph databases (Neo4j, Amazon Neptune)

Industry Experience

• Experience in digital agency or consulting environment
• Background in financial services, e-commerce, retail, or customer experience platforms
• Knowledge of marketing technology and customer data platforms
• Experience with real-time analytics and personalization systems

Soft Skills

• Strong problem-solving and analytical thinking abilities
• Excellent communication skills for client-facing interactions
• Ability to work independently and manage multiple projects
• Adaptability to rapidly changing technology landscape
• Experience mentoring junior team members

We Offer

• Flexibility, with remote and hybrid work options (country-dependent)
• Career advancement, with international mobility and professional development programs
• Learning and development, with access to cutting-edge tools, training, and industry experts

Application Process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud! Only engage with official Valtech email addresses ending in @valtech.com.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know.

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