Principal Data Engineer, Data Products

KONE Bulgaria

Pune, India
Hybrid
Cloud data engineering technologies
Industrial grade data pipelines
Data product development
KONE Bulgaria is seeking a Principal Data Engineer to join their IT Enterprise Data & Analytics team in Pune, India. The role focuses on designing and developing data pipelines using cloud technologies to generate business value through data products, while emphasizing collaboration, innovation, and best practices in data engineering

Job Summary

  • The Principal Data Engineer leads the design, development, and industrialization of data pipelines to deliver industrial grade data products that drive business value and support digital transformation.
  • The role requires hands-on development, technical leadership, mentoring, and driving adoption of best practices and innovations at an industrial scale within a global multi-cultural team.
  • KONE promotes an innovative and collaborative culture focused on employee engagement, sustainability, ethical business practices, and supporting career and personal growth.

Matching Summary

Match Score: 85

KONE Bulgaria is seeking a Principal Data Engineer to join their IT Enterprise Data & Analytics team in Pune, India. The role focuses on designing and developing data pipelines using cloud technologies to generate business value through data products, while emphasizing collaboration, innovation, and best practices in data engineering.

Skills & Requirements

Must-have

  • Cloud data engineering technologies
  • Industrial grade data pipelines
  • Data product development
  • DevSecOps/DataOps practices
  • Python, SQL, Scala coding skills
  • Data pipeline optimization
  • Team leadership in data engineering

Nice-to-have

  • Agile development methodologies
  • Mentoring and coaching skills
  • Cross-cultural team collaboration
  • Strong communication skills
  • Proactive and self-driven work approach
  • Experience with enterprise data landscapes
  • Knowledge of cybersecurity and data privacy

Key Requirements

  • Master's or PhD in quantitative field
  • 18-20 years data/software engineering experience
  • Proven track record in cloud data engineering
  • Experience with Databricks and AWS tech stack
  • Databricks and AWS certifications preferred
  • Proficiency in English language

Work Rights

Not specified

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