Data Engineer ( 2 to 5 Years)
Siemens AG (company site, opens in a new tab)3–5 yrsBengaluruOn-siteDirect career pageEst. 14–22 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable data products and infrastructure on AWS, including data ingestion strategies, formats, and metadata integrations.
- Develop and operate robust data pipelines and CI/CD pipelines supporting AI/ML workflows with collaboration across Data Scientists, ML Engineers, and Product teams.
- Enable advanced analytics and AI/ML use cases by designing efficient data-access patterns and tooling, with active participation in design discussions and cross-team collaboration.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related discipline.
- 3+ years of hands-on experience working with data at scale.
- Proficiency in Python and SQL with strong understanding of SQL and NoSQL databases and performance optimization in distributed systems.
- Experience building and maintaining data and CI/CD pipelines on AWS platforms.
Ideal Candidate Profile
- Experienced in Apache Spark (preferably PySpark) and practical AWS-native services like Lambda, Glue, SageMaker, S3, and Infrastructure as Code tools (CDK, CloudFormation, Terraform).
- Strong collaboration experience with Data Scientists and Machine Learning Engineers, preferably with exposure to MLOps and AI product lifecycle.
- Interest or domain experience in IoT, time-series data, automation systems, digital twins, or smart building technologies.