Senior Engineer - Backend data
Target Corporation (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines and data processing frameworks using Apache Spark, Scala, and Google BigQuery.
- Optimize data models and workloads for performance, scalability, reliability, and cloud cost efficiency in a large-scale data platform environment.
- Collaborate with cross-functional teams to deliver high-quality data products and participate in architecture and design decisions involving data platforms and cloud technologies.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.
- 5+ years of experience in software or data engineering with significant experience in building and supporting large-scale data platforms.
- Strong hands-on experience with Apache Spark, Scala, Google BigQuery, Big Data/Distributed Processing, ETL/ELT, and strong SQL skills.
- Experience with cloud-based data platforms, preferably Google Cloud Platform (GCP).
Ideal Candidate Profile
- Experienced in designing and optimizing high-volume, high-performance data pipelines with a strong understanding of distributed computing concepts.
- Comfortable participating in architecture discussions and translating complex business requirements into scalable technical solutions.
- Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Claude) and exposure to cloud-native architectures and related technologies.