Senior Data Engineer
Siemens View all jobs
- Pune, Maharashtra
- Permanent
- Full-time
- Design, develop, and maintain scalable end-to-end data pipelines (ELT) on modern cloud platforms (especially Snowflake)
- Define and evolve the target data architecture (Data Warehouse / Data Platform) in alignment with business and IT strategy
- Establish and implement data modeling standards, naming conventions, and architectural guidelines across domains
- Build and optimize performant data models (staging, core/transform, mart layers) following standard processes
- Implement and continuously improve CI/CD processes for dbt projects (deployment, testing, versioning)
- Ensure high data quality through testing frameworks, constraints, monitoring, and data quality checks
- Design and maintain monitoring, logging, and alerting systems for production data pipelines
- Analyze, troubleshoot, and resolve incidents while continuously improving platform stability
- Optimize performance of SQL transformations and data workflows
- Translate sophisticated business requirements into scalable technical data solutions with measurable impact
- Collaborate closely in a Data Mesh Setup with data analysts, architecture teams, and business collaborators in the Domain Project to deliver data-driven use cases
- Create and maintain technical documentation and actively shape data engineering standard processes
- Support user adoption through documentation, knowledge sharing, and enablement initiatives.
- 7+ years of experience in Data Engineering / Analytics Engineering
- Strong expertise in SQL and hands-on experience with cloud data warehouses (preferably Snowflake)
- Practical experience with dbt (ideally dbt Cloud)
- Proven ability to translate business requirements into scalable, maintainable data architectures and solutions
- Deep understanding of modern data architectures (ELT principles, layered approach, Data Mesh, data products)
- Proven experience in building scalable data pipelines and data models
- Experience with data quality frameworks, monitoring, and governance concepts
- Experience in defining data architecture standards, governance frameworks, and best practices
- Experience working in multi-functional teams (IT, business stakeholders, external partners)
- Experience with orchestration tools (e.g., Airflow)
- Familiarity with Cloud services (e.g., AWS: S3, Glue)
- Experience with BI tools (e.g., Power BI) and reporting solutions
- Basic understanding of AI use cases and data preparation (e.g. Snowflake Cortex Semantic Models)
- Experience in agile environments (Scrum, Kanban)
- Experience in defining or working with enterprise architecture frameworks
- Domain knowledge in areas such as Project & Finance
- You think not only end-to-end, but also architecturally and strategically across domains
- You combine technical excellence with a strong architectural attitude
- You are proactive, solution-oriented, and quality-driven
- You take ownership and drive topics independently.