Hello Visionary!
We empower our people to stay resilient and relevant in a constantly evolving digital world. We're looking for curious minds who are passionate about building scalable data platforms and enabling intelligent, data-driven solutions. If you enjoy solving complex problems and want to make a real impact today and in the future, you might be the perfect fit for our team.
We are looking for a
Data Engineer.
You'll make a difference by:
- Designing, building, and maintaining scalable data products and data infrastructure on AWS
- Developing robust data pipelines using AWS-native services and integrating data across multiple application silos
- Supporting the automation, deployment, and operation of AI/ML workflows
- Defining data ingestion strategies, data formats and schemas, metadata/catalog integrations, federated data access, and end-to-end data product creation
- Enabling advanced analytics, AI/ML, and data-driven use cases by designing efficient data-access patterns and tooling (including support for LLM context engineering)
- Collaborating closely with Data Scientists, ML Engineers, and Product teams to translate business needs into scalable data solutions
- Actively participating in design discussions, technical reviews, and cross-team collaboration forums.
You'll win us over by:
- Holding a Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline
- Having 3+ years of hands-on experience working with data at scale
- Strong experience in building and maintaining data pipelines
- Hands-on experience with AWS cloud-native services, such as:
- Lambda, Glue, Athena, S3, SageMaker (or similar)
- Experience with Infrastructure as Code tools such as CDK, CloudFormation, or Terraform
- Proven experience in building and maintaining CI/CD pipelines
- Strong programming skills in Python and SQL
- Solid understanding of SQL and NoSQL databases, complex SQL queries, and performance optimization across large, distributed systems
- Practical experience with Apache Spark (preferably PySpark)
- Experience with REST APIs – usage, definition, and implementation
- Clear communication skills and the ability to capture and define technical requirements effectively.
You'll stand out if you have:
- Experience with TypeScript and/or JavaScript
- Working knowledge of databases such as PostgreSQL, DynamoDB, or similar technologies
- Strong collaboration experience with Data Scientists and Machine Learning Engineers
- Interest or hands-on exposure to MLOps and the AI product lifecycle
- Domain experience (or strong willingness to learn) in IoT, time-series data, automation systems, digital twins, or smart buildings technologies.
We'll support you with:
- Flexible and hybrid working opportunities
- A diverse, inclusive, and collaborative culture
- Continuous learning and development opportunities
- An attractive and competitive compensation package.
Join us and be yourself!
This role is based in Pune, where you'll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.
We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.
We're Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need.
Bring your curiosity and imagination and help us shape tomorrow.
Find out more about Siemens careers at: www.siemens.com/careers
