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Key skills for this role
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.
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.
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 programming skills in Python and SQL
Strong understanding of databases (SQL and NoSQL), complex SQL queries and their performance across large, distributed databases.
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Experience in building and maintaining data pipelines
Proven experience in building and maintaining CI/CD pipelines
Solid understanding of SQL and NoSQL databases , complex SQL queries, and performance optimization across large, distributed systems
Practical experience with Apache Spark (preferably PySpark)
Clear communication skills and the ability to capture and define technical requirements effectively.
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.
Experience with Infrastructure as Code (ideally CDK, CloudFormation, Terraform) and cloud-native technologies in AWS (e.g. Lambda, Athena, Glue, SageMaker, S3, etc.)
Experience with tools like EMR, Snowflake, AWS Glue
Flexible and hybrid working opportunities
A diverse, inclusive, and collaborative culture
Continuous learning and development opportunities
An attractive and competitive compensation package.
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
Global technology company specializing in industry, infrastructure, transport, and healthcare.
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Mid · 3+ years experience
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