Senior Data Engineer

KONE Belgique & Luxembourg

Pune, India
Data engineering professional experience
Developing and maintaining data pipelines
Aws, azure and/or databricks
Our Data Foundation based data products are key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole KONE organization

Job Summary

  • Our Data Foundation based data products are key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole KONE organization.
  • This is a hands-on, roll up your sleeves position that requires a passion for data, engineering and DevOps.
  • We offer a chance to work hands-on with state-of-the-art cloud technology in a global, multi-cultural work environment being located in our office in Pune.

Matching Summary

Our Data Foundation based data products are key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole KONE organization.

Skills & Requirements

Must-have

  • Data engineering professional experience
  • Developing and maintaining data pipelines
  • AWS, Azure and/or Databricks
  • Databricks for ETL, Airflow, SCL, Python, Scala
  • DBT for developing ETL
  • AWS CDK and Terraform for IaC
  • Lake house architecture based on Databricks
  • DevOps mindset and practices

Nice-to-have

  • Agile development methodologies and tools
  • Cybersecurity awareness
  • Data privacy and compliancy regulations
  • Work in global multi-cultural team
  • Excellent problem-solving skills
  • DataOps and ITSM processes

Key Requirements

  • > 3 years hands-on data engineering
  • Master's degree in software engineering, data engineering, computer science, or related field
  • Working proficiency in AWS, Gitlab, Databricks, Airflow, SCL, Python, Scala, DBT, AWS CDK, Terraform
  • Strong coding proficiency SQL and Python
  • Fluency in industry-standard DevOps practices
  • Experience with enterprise data landscapes
  • Experience on enterprise data sources (SAP ERP, Salesforce)
  • Proficiency in spoken and written English

Work Rights

Not specified

Tailored Resume

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