Want to get hired at Siemens?

IT Solution Expert Data Engineer

Siemens

Thane, Maharashtra, IndiaOn Site

Original Job Summary

About the Role

Siemens Financial Services IT is establishing a strategic Tech Hub in India to drive digital transformation worldwide. As an IT Solution Expert Data Engineer, you will build international experience working with cutting-edge technologies that power financial operations globally.

Responsibilities

  • Work in international, agile and self-organizing teams.
  • Take end-to-end responsibility for innovative solutions.
  • Analyze and optimize processes including ETL and data modeling.
  • Collaborate with business experts to translate requirements into process mining use cases.
  • Build and manage Celonis data models and ensure query performance.
  • Document technical requirements and provide technical support.

Qualifications

  • Degree in Computer Science, Business or equivalent.
  • 5+ years of relevant experience in financial services or consulting.
  • Expertise with Celonis and similar process mining technologies.
  • Proficiency in SQL, Python, and extensive ETL experience.
  • Strong skills in relational databases, data modeling and enterprise systems.
  • Excellent communication and presentation skills in business English.

Key Skills/Competency

  • Celonis
  • ETL
  • SQL
  • Python
  • Data Modeling
  • Process Mining
  • Financial Services
  • Agile
  • Collaboration
  • Documentation

How to Get Hired at Siemens

🎯 Tips for Getting Hired

  • Research Siemens culture: Study their mission and global initiatives.
  • Tailor your resume: Emphasize Celonis and ETL expertise.
  • Highlight technical skills: Showcase SQL, Python, and data modeling.
  • Prepare for interviews: Practice real-world problem-solving examples.

📝 Interview Preparation Advice

Technical Preparation

Review Celonis data modeling basics.
Practice SQL queries and Python scripting.
Study ETL pipeline construction methods.
Understand relational databases thoroughly.

Behavioral Questions

Explain team collaboration examples.
Describe handling project challenges.
Discuss innovative problem-solving stories.
Share experiences with agile teams.