Senior Engineer - Backend data

Target is hiring a Senior Engineer - Backend data in Bangalore.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data processing frameworks using Spark, Scala, BigQuery, and other Big Data technologies.
• Build robust ETL/ELT pipelines for high-volume and complex datasets.
• Develop efficient data models and optimize BigQuery tables using appropriate partitioning, clustering, query design, and storage strategies.
• Design and implement scalable batch and distributed data processing solutions using Apache Spark.
• Develop reusable frameworks and components to improve engineering productivity, data processing efficiency, and operational reliability.
• Analyze and optimize large-scale data workloads for performance, scalability, reliability, and cloud cost efficiency.
• Implement data quality, validation, monitoring, and observability across data pipelines and datasets.
• Troubleshoot complex data, pipeline, infrastructure, and production issues and drive root-cause resolution.
• Participate in architecture and design discussions and contribute to technical decisions involving data platforms and cloud technologies.
• Collaborate with Product, Analytics, Data Science, Architecture, and other engineering teams to deliver high-quality data products.
• Participate in code reviews, design reviews, testing, debugging, and production support activities.
• Follow engineering best practices around CI/CD, automation, security, reliability, and operational excellence.
• Evaluate and adopt emerging technologies that improve data engineering productivity and platform capabilities.
• Contribute to technical documentation, engineering standards, and knowledge-sharing across the team.
• Explore and adopt AI-assisted development tools such as GitHub Copilot, Claude, and similar solutions to improve developer productivity and engineering efficiency.
• Identify practical opportunities to leverage Generative AI for code development, code reviews, debugging, documentation, data analysis, and automation.

Preferred qualifications

• Java and Spring Boot experience.
• Experience building REST APIs or microservices.
• Kafka or other event-streaming technologies.
• Experience with cloud-native architectures and GCP services.
• Experience with Python and Shell scripting.
• Experience with CI/CD tools such as Jenkins, GitHub Actions, or similar platforms.
• Experience with containerization technologies such as Docker.
• Experience with data quality platforms such as Monte Carlo or equivalent.
• Exposure to Generative AI and AI-assisted development tools, including GitHub Copilot, Claude, or similar tools.
• Experience developing or contributing to reusable data engineering frameworks.
• Experience in Retail, AdTech, Media, Analytics, or other high-volume data domains is a plus.

About Target

Target is an iconic brand, a Fortune 50 company, and one of America’s leading retailers. Target as a tech company? Absolutely. We are the behind-the-scenes powerhouse that fuels Target’s passion and commitment to cutting-edge innovation. Our teams build and operate the technology that powers every part of Target’s digital and store experience. We combine modern engineering practices, cloud technologies, data, and innovative thinking to deliver reliable, scalable solutions that create meaningful