Senior Data Engineer

About the Position

We're seeking a Senior Data Engineer with 6-9 years of experience in distributed data stores and computation to join our digital banking solutions team in Bengaluru, India. Our client is a comprehensive-stack digital banking solutions provider empowering banks and financial institutions to scale and modernize at speed. In this role, you'll own the delivery of data storage, access, and analytics components within your assigned scope - implementing secure data access, real-time analytics pipelines, and disaster-resilient replication and backup strategies. You'll work closely with engineering, security, and platform teams to ensure data solutions are reliable, secure, and maintainable.

Responsibilities

• Design, build, and operate structured, semi-structured, and unstructured data stores supporting real-time and batch analytics workloads within your assigned scope.
• Recommend and apply appropriate distributed data and computation technologies for assigned use cases, balancing performance, scalability, and maintainability.
• Implement secure, reliable access patterns for connecting to multiple internal and external data sources.
• Apply encryption and other controls to protect data at rest in line with security standards.
• Build and maintain real-time analytics pipelines using distributed processing frameworks such as Spark and Presto/Trino.
• Containerize and deploy data services using Kubernetes and related orchestration tooling.
• Design and implement data replication strategies to support active/active data center resilience.
• Design, implement, and test backup and recovery procedures for owned data platforms.
• Own code quality, testing, and documentation for data engineering components within your scope.
• Collaborate with engineering, security, and platform teams to ensure data solutions meet reliability and operational standards.

Requirements

• Must have

  • 6–9 years of software engineering experience, including at least 2–3 years working with distributed data stores and distributed computation.
  • Hands-on experience with one or more distributed data technologies such as Elasticsearch, Cassandra, Hadoop, or MongoDB.
  • Strong proficiency in Scala.
  • Experience with Spark and Presto or Trino for large-scale data processing.
  • Experience with microservice-based architectures.
  • Hands-on experience with Kubernetes and container-based deployment.
  • Working knowledge of NoSQL data stores.
  • Experience operating in Unix/Linux environments.
  • Familiarity with Agile/Scrum delivery practices.

• Nice to Have

  • Cloud platform experience (AWS or GCP).
  • Retail banking data experience.

We Offer

• Competitive salary.
• Opportunity to work in a dynamic and innovative environment.
• Professional growth and development opportunities.

About the Company

Luxoft is a global leader in digital transformation, providing innovative solutions to the financial services industry. We empower banks and financial institutions to scale and modernize at speed, leveraging cutting-edge technologies and best practices.

Apply

Interested candidates can apply for the Senior Data Engineer position in Bengaluru, India. For more information, visit our careers page.