
Job Overview
Location
Bengaluru
Job Type
Full-time
Category
Software Engineering
Date Posted
May 25, 2026
Full Job Description
đź“‹ Description
- • Design and implement robust, scalable data architectures and pipelines for batch and real-time data processing.
- • Build and maintain ETL/ELT processes using modern data processing frameworks to support analytics and reporting.
- • Develop data models and schemas optimized for performance, consistency, and reliability across all data systems.
- • Ensure data quality, governance, and security by implementing monitoring, validation, and compliance frameworks.
- • Work with multiple cloud platforms including AWS, Azure, and GCP based on client requirements and project needs.
- • Implement data solutions using cloud-native services such as data lakes, data warehouses, serverless computing, and event-driven architectures.
- • Create automated data ingestion pipelines from diverse sources including APIs, databases, files, and streaming platforms.
- • Optimize data pipeline performance and cost-efficiency while maintaining high availability and scalability.
- • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
- • Partner with DevOps teams to implement CI/CD practices for data pipelines using containerization and orchestration tools.
- • Participate in architecture reviews and technical decision-making to align data infrastructure with business goals.
- • Apply Infrastructure as Code (IaC) principles using tools like Terraform, CloudFormation, or ARM templates.
- • Utilize data processing frameworks including Apache Spark, Hadoop, Kafka, and Airflow for large-scale data workflows.
- • Maintain expertise in data warehouse design, dimensional modeling, and data governance principles including GDPR and CCPA.
- • Work in an Agile consulting environment, adapting quickly to evolving client needs and technology stacks.
- • Mentor junior team members and contribute to knowledge-sharing within the team.
- • Stay current with emerging trends in data engineering, including data mesh, data fabric, MLOps, and modern data stack tools.
🎯 Requirements
- • Minimum 3+ years of experience in data engineering or a related field
- • Strong programming skills in Python and/or Scala/Java
- • Hands-on experience with Apache Spark, Kafka, and Airflow or similar workflow orchestration tools
- • Experience with at least one major cloud platform (AWS, Azure, or GCP) and cloud-native data services
- • Proficiency in SQL and database technologies such as PostgreSQL, MySQL, or MongoDB
- • Knowledge of containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, CloudFormation)
🏖️ Benefits
- • Flexibility with remote and hybrid work options (country-dependent)
- • Career advancement opportunities including international mobility and professional development programs
- • Access to cutting-edge tools, training, and industry experts for continuous learning
- • Competitive compensation package tailored to location
Skills & Technologies
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About Valtech SE
Valtech SE is a global digital transformation agency headquartered in Paris, France, that designs and delivers data-driven commerce and customer experience solutions. The company combines strategy, service design, marketing, and engineering to help enterprises modernize technology stacks, unify customer touchpoints, and scale omnichannel commerce. Founded in 1993, it operates more than 50 offices across five continents, serving Fortune 500 brands in retail, consumer goods, financial services, and healthcare. Core services include digital platform implementation, cloud migration, product engineering, data analytics, and ongoing managed services, leveraging partnerships with Adobe, SAP, Sitecore, and major cloud providers.
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